Triple
T7351971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruvanaikaval |
E169522
|
entity |
| Predicate | elementRepresentedByMainTemple |
P76753
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [Thiruvanaikaval, elementRepresentedByMainTemple, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elementRepresentedByMainTemple Context triple: [Thiruvanaikaval, elementRepresentedByMainTemple, water]
-
A.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
B.
templeName
Indicates that an entity is identified by or associated with the name of a temple.
-
C.
majorTempleLocation
Indicates that a major temple associated with an entity is located at a specified place.
-
D.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
E.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:05 p.m.