Triple
T3230327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milnerton |
E67722
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
|
E340739
|
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: Table View | Statement: [Milnerton, hasPart, Table View]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Table View Context triple: [Milnerton, hasPart, Table View]
-
A.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
B.
PanelView
PanelView is Rockwell Automation’s family of industrial operator interface terminals used for monitoring and controlling factory automation systems.
-
C.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
D.
Table of Context
"Table of Context" is an EP by American singer, songwriter, and producer Cautious Clay that blends soulful vocals with atmospheric R&B and electronic production.
-
E.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
- 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: Table View Triple: [Milnerton, hasPart, Table View]
Generated description
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Table View Target entity description: Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
A.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
B.
PanelView
PanelView is Rockwell Automation’s family of industrial operator interface terminals used for monitoring and controlling factory automation systems.
-
C.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
D.
Table of Context
"Table of Context" is an EP by American singer, songwriter, and producer Cautious Clay that blends soulful vocals with atmospheric R&B and electronic production.
-
E.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb99e088190a8eeca2ca53707e7 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2772e3e2081908dec43f8e4a2fb51 |
completed | March 12, 2026, 8:19 a.m. |
| NEDg | Description generation | batch_69b27b9e39f881909627b004494856e2 |
completed | March 12, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bf5514081909418ba6740240c0a |
completed | March 12, 2026, 8:40 a.m. |
Created at: March 8, 2026, 3:08 p.m.