Triple
T20097323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiruttani Murugan Temple |
E496434
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tiruttani |
—
|
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: Tiruttani | Statement: [Tiruttani Murugan Temple, locatedIn, Tiruttani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiruttani Context triple: [Tiruttani Murugan Temple, locatedIn, Tiruttani]
-
A.
Tiruttani
chosen
Tiruttani is a temple town in Tamil Nadu, India, renowned as one of the sacred abodes of the Hindu god Kartikeya (Murugan).
-
B.
Tiruverumbur
Tiruverumbur is a suburban locality and industrial area near Tiruchirappalli city in the Indian state of Tamil Nadu.
-
C.
Thiruporur
Thiruporur is a town in the Indian state of Tamil Nadu known for its historic Murugan temple and location along the Old Mahabalipuram Road near Chennai.
-
D.
Thiruvathirakali
Thiruvathirakali is a traditional group dance performed by Malayali women, especially during the Thiruvathira festival, characterized by graceful circular movements and devotional songs.
-
E.
Tindivanam
Tindivanam is a town in the Indian state of Tamil Nadu known as a local commercial and transportation hub in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666d83448190b3ade3f5b855e820 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.