Triple

T5443733
Position Surface form Disambiguated ID Type / Status
Subject Sambandar E122196 entity
Predicate associatedWithPlace P2830 FINISHED
Object Sirkazhi E521493 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: Sirkazhi | Statement: [Sambandar, associatedWithPlace, Sirkazhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirkazhi
Context triple: [Sambandar, associatedWithPlace, Sirkazhi]
  • A. Sirkazhi chosen
    Sirkazhi is a historic temple town in Tamil Nadu, India, renowned for its ancient Shiva shrines and rich Saivite devotional heritage.
  • B. Sirkhi
    Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
  • C. Sibhaca
    Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
  • D. Sarikoli
    Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
  • E. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4881d6308190a4e7cb784eb520c9 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:07 p.m.