Triple
T8564727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palani Murugan Temple |
E202775
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Palani |
E161611
|
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: Palani | Statement: [Palani Murugan Temple, locatedIn, Palani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palani Context triple: [Palani Murugan Temple, locatedIn, Palani]
-
A.
Palani
chosen
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
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.
Nallur
Nallur is a historic town in northern Sri Lanka, renowned as a major Hindu cultural and religious center.
-
E.
Manapparai
Manapparai is a town in the Indian state of Tamil Nadu, known especially for its traditional rice-based snack called Manapparai murukku.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb84a6988190ba6852f72c8918ca |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:20 p.m.