Triple
T15193975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMiLE |
E363096
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Vega-Tables
Vega-Tables is a component of the SMiLE system that provides structured, table-based data visualization or representation capabilities.
|
E1142152
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vega-Tables | Statement: [SMiLE, hasPart, Vega-Tables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega-Tables Context triple: [SMiLE, hasPart, Vega-Tables]
-
A.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
B.
Prutenic Tables
The Prutenic Tables were influential 16th-century astronomical tables based on Copernican heliocentric theory, used for predicting planetary positions before being superseded by more accurate works like the Rudolphine Tables.
-
C.
xVelocity in-memory analytics engine
xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
-
D.
Vega$
Vega$ is a television role played by American actor Robert Urich, best known for his work in popular TV series during the 1970s and 1980s.
-
E.
Vitess
Vitess is an open-source database clustering system that enables horizontal scaling and management of large MySQL deployments, widely used in cloud-native environments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vega-Tables Triple: [SMiLE, hasPart, Vega-Tables]
Generated description
Vega-Tables is a component of the SMiLE system that provides structured, table-based data visualization or representation capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vega-Tables Target entity description: Vega-Tables is a component of the SMiLE system that provides structured, table-based data visualization or representation capabilities.
-
A.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
B.
Prutenic Tables
The Prutenic Tables were influential 16th-century astronomical tables based on Copernican heliocentric theory, used for predicting planetary positions before being superseded by more accurate works like the Rudolphine Tables.
-
C.
xVelocity in-memory analytics engine
xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
-
D.
Vega$
Vega$ is a television role played by American actor Robert Urich, best known for his work in popular TV series during the 1970s and 1980s.
-
E.
Vitess
Vitess is an open-source database clustering system that enables horizontal scaling and management of large MySQL deployments, widely used in cloud-native environments.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69feca98251081909c07f7ba4a863ad8 |
completed | May 9, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecb1cc7d08190a77e8a444334b688 |
completed | May 9, 2026, 5:50 a.m. |
Created at: April 10, 2026, 3:10 a.m.