Triple
T35668809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramaswamy Temple, Kumbakonam |
E1030650
|
entity |
| Predicate | gopuramCount |
P79736
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
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: 1 | Statement: [Ramaswamy Temple, Kumbakonam, gopuramCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gopuramCount Context triple: [Ramaswamy Temple, Kumbakonam, gopuramCount, 1]
-
A.
hasGopuramsCountApprox
Indicates an approximate number of gopurams (temple towers) associated with an entity.
-
B.
numberOfGopurams
chosen
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
C.
gopuramStyle
Indicates that something is characterized by or constructed in the architectural style associated with a gopuram (a monumental temple gateway tower).
-
D.
gopuramUsedIn
Indicates that a gopuram (temple gateway tower) is utilized or incorporated in the design, structure, or function of another entity.
-
E.
AayiramKaalMandapamPillarCountApprox
Indicates an approximate count of the pillars in the Aayiram Kaal Mandapam.
- F. None of above.
Provenance (3 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fb0522881908ef533985a8dac3e |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.