Triple

T8555373
Position Surface form Disambiguated ID Type / Status
Subject Ulu Bendul Recreational Forest E202550 entity
Predicate locatedIn P40 FINISHED
Object Jelebu District E202545 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: Jelebu District | Statement: [Ulu Bendul Recreational Forest, locatedIn, Jelebu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jelebu District
Context triple: [Ulu Bendul Recreational Forest, locatedIn, Jelebu District]
  • A. Jelebu District chosen
    Jelebu District is a largely rural administrative district in the Malaysian state of Negeri Sembilan, known for its hilly terrain, forests, and agricultural activities.
  • B. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • C. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • D. Gelan District
    Gelan District is an administrative district in southeastern Afghanistan, located within Ghazni Province.
  • E. Musakhel District
    Musakhel District is an administrative district in northeastern Balochistan, Pakistan, known for its predominantly Pashtun population and rugged, mountainous terrain.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88a936c8190a0234bf7da2ff55a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce893b24c0819094fead15749fe1ee completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:19 p.m.