Triple
T6971357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumara |
E161604
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Swamimalai |
E164755
|
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: Swamimalai | Statement: [Kumara, associatedWith, Swamimalai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swamimalai Context triple: [Kumara, associatedWith, Swamimalai]
-
A.
Swamimalai
chosen
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
B.
Kaveripattinam
Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
-
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.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Orathuppalayam
Orathuppalayam is a locality in Tamil Nadu, India, known for its proximity to the Noyyal River and the Orathuppalayam Dam, which has been central to regional water management and pollution issues.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db38013081908037d23843dccad7 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7754815c8819091d1291f7cdfec1d |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:30 p.m.