Triple

T19875185
Position Surface form Disambiguated ID Type / Status
Subject Hasbaya District E477618 entity
Predicate borders P224 FINISHED
Object Jezzine 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: Jezzine District | Statement: [Hasbaya District, borders, Jezzine District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezzine District
Context triple: [Hasbaya District, borders, Jezzine District]
  • A. Jezzine District chosen
    Jezzine District is an administrative district in southern Lebanon known for its mountainous landscape, pine forests, and historic town of Jezzine with its famous waterfalls.
  • B. Berriane District
    Berriane District is an administrative district in Ghardaïa Province, Algeria, centered around the town of Berriane.
  • C. Didouche Mourad District
    Didouche Mourad District is an administrative district in northeastern Algeria, situated within Constantine Province and centered around the town of Didouche Mourad.
  • D. Nouaceur Province
    Nouaceur Province is an administrative division in the Casablanca-Settat region of Morocco that includes the area served by Mohammed V International Airport.
  • E. Salhiya district
    Salhiya district is a central neighborhood in Kuwait City known for its commercial complexes, offices, and residential areas.
  • 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.