Triple
T21163338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirkazhi Brahmapureeswarar Temple |
E521494
|
entity |
| Predicate | consortDeity |
P46301
|
FINISHED |
| Object | Periyanayaki |
—
|
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: Periyanayaki | Statement: [Sirkazhi Brahmapureeswarar Temple, consortDeity, Periyanayaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Periyanayaki Context triple: [Sirkazhi Brahmapureeswarar Temple, consortDeity, Periyanayaki]
-
A.
Periyanayaki
chosen
Periyanayaki is a Hindu goddess revered as the principal consort of Lord Shiva at the Nageswaran Temple in Tamil Nadu.
-
B.
Ponnji
Ponnji is an alternate local name for Panaji, the capital city of the Indian state of Goa known for its riverside setting and Portuguese-influenced architecture.
-
C.
Pillaiyar
Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
-
D.
Perazhagan
Perazhagan is a Tamil-language film in which actor Suriya gained acclaim for his dual-role performance, including that of a physically challenged man.
-
E.
Velaikkaran
Velaikkaran is a 2017 Tamil-language social drama film starring Sivakarthikeyan that focuses on corporate corruption and the struggles of exploited workers.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72533fe88819082e14d71c36140be |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.