Triple

T7306843
Position Surface form Disambiguated ID Type / Status
Subject Bodh Gaya E167993 entity
Predicate district P2709 FINISHED
Object Gaya district E281283 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: Gaya district | Statement: [Bodh Gaya, district, Gaya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaya district
Context triple: [Bodh Gaya, district, Gaya district]
  • A. Gaya district chosen
    Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
  • B. Hai District
    Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
  • C. Nangang District
    Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
  • D. Leova District
    Leova District is an administrative region in southwestern Moldova known for its agricultural landscape and location along the Prut River on the border with Romania.
  • E. Haga district
    Haga district is one of Gothenburg’s oldest and most picturesque neighborhoods, known for its well-preserved wooden houses, cobblestone streets, and cozy cafés.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd7dcf88190b3e66bea327fc63d completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56443b08190aee2c26633cdcbed completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.