Triple

T19875303
Position Surface form Disambiguated ID Type / Status
Subject Hasbaya E477621 entity
Predicate locatedIn P40 FINISHED
Object Hasbaya District NE NERFINISHED

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: Hasbaya District | Statement: [Hasbaya, locatedIn, Hasbaya District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasbaya District
Context triple: [Hasbaya, locatedIn, Hasbaya District]
  • A. Hasbaya District chosen
    Hasbaya District is an administrative district in southern Lebanon known for its mountainous landscape, historic town of Hasbaya, and proximity to the Golan Heights and the Israeli border.
  • B. Al Buka District
    Al Buka District is an administrative district located within Kyrgyzstan’s Jalal-Abad Region.
  • C. Sahab District
    Sahab District is an administrative district in Jordan located within the Amman Governorate, known for its industrial zones and growing urban population.
  • D. Al-Ayy District
    Al-Ayy District is an administrative subdivision located within Jordan’s Karak Governorate.
  • E. Murqub District
    Murqub District is an administrative region in northwestern Libya along the Mediterranean coast, encompassing the city of Khoms and several other towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.