Triple

T7124422
Position Surface form Disambiguated ID Type / Status
Subject Kamakhya Temple E166023 entity
Predicate alsoKnownAs P39 FINISHED
Object Kamrup-Kamakhya E167063 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: Kamrup-Kamakhya | Statement: [Kamakhya Temple, alsoKnownAs, Kamrup-Kamakhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamrup-Kamakhya
Context triple: [Kamakhya Temple, alsoKnownAs, Kamrup-Kamakhya]
  • A. Kamrup Metropolitan district chosen
    Kamrup Metropolitan district is an administrative district in the Indian state of Assam that encompasses the major city of Guwahati and its surrounding urban areas.
  • B. Tinsukia
    Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
  • C. Purulia
    Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
  • D. Purnea
    Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
  • E. Sainthia
    Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64c0f688190a9b7482d86c2f033 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8d92fec8190bd275023bdef8e08 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:44 p.m.