Triple
T27767781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avinashi Temple |
E701649
|
entity |
| Predicate | gopuramStyle |
P163230
|
FINISHED |
| Object | Dravidian multi-tiered tower |
—
|
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: Dravidian multi-tiered tower | Statement: [Avinashi Temple, gopuramStyle, Dravidian multi-tiered tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gopuramStyle Context triple: [Avinashi Temple, gopuramStyle, Dravidian multi-tiered tower]
-
A.
hasGopuramsCountApprox
Indicates an approximate number of gopurams (temple towers) associated with an entity.
-
B.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
C.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
D.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
E.
AayiramKaalMandapamPillarCountApprox
Indicates an approximate count of the pillars in the Aayiram Kaal Mandapam.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6379463488190b5d5cc8fa944f1fe |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:32 p.m.