Triple

T16784195
Position Surface form Disambiguated ID Type / Status
Subject Singhpuria Misl E407928 entity
Predicate namedAfter P63 FINISHED
Object Singhpur E1234272 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: Singhpur | Statement: [Singhpuria Misl, namedAfter, Singhpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singhpur
Context triple: [Singhpuria Misl, namedAfter, Singhpur]
  • A. Singhpur chosen
    Singhpur is a historical town that served as the capital of the Sikh Singhpuria Misl confederacy in Punjab.
  • B. Singauri
    Singauri is a traditional sweet from the Kumaon region of Uttarakhand, India, typically made of khoya (reduced milk) wrapped in maalu leaves and known for its rich, aromatic flavor.
  • C. Singa city
    Singa city is the capital of Sudan’s Sennar State, serving as an important administrative and commercial center along the Blue Nile.
  • D. Singapore
    Singapore is a sovereign city-state and island nation in Southeast Asia known for its global financial hub status, multicultural society, and highly developed, efficient infrastructure.
  • E. Kampong Bolkiah
    Kampong Bolkiah is a riverside village and residential area in Bandar Seri Begawan, Brunei, known for its stilt houses and community-oriented development.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b218d31881908d896e688ebd171c completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b287a96c8190a16d7c76d05be106 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:22 a.m.