Triple

T7514997
Position Surface form Disambiguated ID Type / Status
Subject Hatia E177616 entity
Predicate hasCapital P204 FINISHED
Object Hatia town E177616 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: Hatia town | Statement: [Hatia, hasCapital, Hatia town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatia town
Context triple: [Hatia, hasCapital, Hatia town]
  • A. Hatia chosen
    Hatia is a coastal island and upazila in southeastern Bangladesh, situated in the Meghna River estuary near the Bay of Bengal.
  • B. Fatehnagar
    Fatehnagar is a historical name for the Indian city now known as Aurangabad, a major urban center in Maharashtra noted for its proximity to the Ajanta and Ellora caves.
  • C. Tathra
    Tathra is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its historic wharf, scenic beaches, and fishing.
  • D. Raisina village
    Raisina village was a former settlement in Delhi whose land was acquired and cleared during British rule to construct the central administrative area of New Delhi, including Raisina Hill and the Viceroy’s House (now Rashtrapati Bhavan).
  • E. Gadap Town
    Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.