Triple

T15583756
Position Surface form Disambiguated ID Type / Status
Subject Al Khums E374565 entity
Predicate partOf P40 FINISHED
Object Murqub District E646872 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: Murqub District | Statement: [Al Khums, partOf, Murqub District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murqub District
Context triple: [Al Khums, partOf, Murqub District]
  • A. Murqub District chosen
    Murqub District is an administrative region in northwestern Libya along the Mediterranean coast, encompassing the city of Khoms and several other towns.
  • B. Shwak District
    Shwak District is an administrative district located in Paktia Province in eastern Afghanistan.
  • C. Qardaha District
    Qardaha District is an administrative district in northwestern Syria, known for encompassing the town of Qardaha, the ancestral home of the Assad family.
  • D. Hasbaya District
    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.
  • E. Al-Qatraneh District
    Al-Qatraneh District is an administrative district in central Jordan, situated within the Karak Governorate.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4f71e48190a15eb0a2138f083f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.