Triple
T15935243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nallur Temple chariot festival |
E386425
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nallur |
E387274
|
NE 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: Nallur | Statement: [Nallur Temple chariot festival, locatedIn, Nallur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nallur Context triple: [Nallur Temple chariot festival, locatedIn, Nallur]
-
A.
Nallur
chosen
Nallur is a historic town in northern Sri Lanka, renowned as a major Hindu cultural and religious center.
-
B.
Suchindram
Suchindram is a temple town in Tamil Nadu, India, renowned for its historic Thanumalayan Temple dedicated to a unique combined form of the Hindu trinity.
-
C.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
D.
Palani
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
-
E.
Vilayanur
Vilayanur is the given name of V. S. Ramachandran, a prominent neuroscientist known for his work on visual perception and phantom limbs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a8bbf48190ad10011e7eb0c6a9 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.