Triple

T20321752
Position Surface form Disambiguated ID Type / Status
Subject Manbij Military Council E492221 entity
Predicate operatesIn P82 FINISHED
Object Manbij 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: Manbij District | Statement: [Manbij Military Council, operatesIn, Manbij District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manbij District
Context triple: [Manbij Military Council, operatesIn, Manbij District]
  • A. Manbij District chosen
    Manbij District is an administrative district in northern Syria that encompasses the city of Manbij and its surrounding rural areas.
  • B. Andarab District
    Andarab District is an administrative district in northeastern Afghanistan known for its mountainous terrain and strategic location within Baghlan Province.
  • C. Gizab District
    Gizab District is an administrative district located within Daykundi Province in central Afghanistan.
  • D. Gizab District
    Gizab District is an administrative district located within Uruzgan Province in central Afghanistan, known for its mountainous terrain and history of conflict.
  • E. Kasbi District
    Kasbi District is an administrative district located within Uzbekistan's Qashqadaryo Region, known primarily for its agricultural activities and rural settlements.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778c4430819083b17da5067b88ef completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.