Triple
T29211970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srivilliputhur Andal Temple |
E740568
|
entity |
| Predicate | gopuramUsedIn |
P166434
|
FINISHED |
| Object | Emblem of Tamil Nadu government |
—
|
NE NERFINISHED |
How this triple was built (2 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: Emblem of Tamil Nadu government | Statement: [Srivilliputhur Andal Temple, gopuramUsedIn, Emblem of Tamil Nadu government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gopuramUsedIn Context triple: [Srivilliputhur Andal Temple, gopuramUsedIn, Emblem of Tamil Nadu government]
-
A.
gopuramStyle
Indicates that something is characterized by or constructed in the architectural style associated with a gopuram (a monumental temple gateway tower).
-
B.
hasGopuramsCountApprox
Indicates an approximate number of gopurams (temple towers) associated with an entity.
-
C.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
D.
rajagopuramHeight
Indicates the height measurement associated with a rajagopuram (temple gateway tower).
-
E.
hasPilgrimageGhatsIn
Indicates that a place possesses or contains pilgrimage ghats located within the specified area or region.
- F. None of above. chosen
Provenance (4 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664057f888190b8c7e45431970680 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 12:11 p.m.