Triple
T4762611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavani |
E105731
|
entity |
| Predicate | usesInstrument |
P933
|
FINISHED |
| Object |
tabla
The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
|
E466983
|
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: tabla | Statement: [Lavani, usesInstrument, tabla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tabla Context triple: [Lavani, usesInstrument, tabla]
-
A.
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.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
D.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
E.
TBL
TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
- 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: tabla Triple: [Lavani, usesInstrument, tabla]
Generated description
The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tabla Target entity description: The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
-
A.
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.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
TTable
TTable is a Delphi VCL data-access component that represents and manipulates an entire database table through a live, table-based dataset interface.
-
D.
Tábua
Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
-
E.
TBL
TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a81c9dc8190b9e7f399ac1de268 |
completed | March 21, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69be3b4791008190ba3f3f6e7698146f |
completed | March 21, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3bbe432081909bf134e1be799b58 |
completed | March 21, 2026, 6:33 a.m. |
Created at: March 20, 2026, 1:20 p.m.