Triple

T22253255
Position Surface form Disambiguated ID Type / Status
Subject Beit Awwa E550030 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Dura 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: Dura | Statement: [Beit Awwa, hasNearbyLocality, Dura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dura
Context triple: [Beit Awwa, hasNearbyLocality, Dura]
  • A. Dura chosen
    Dura is a Palestinian city in the southern West Bank, located southwest of Hebron and known for its agricultural production and historic significance.
  • B. Dura
    "Dura" is a 2018 reggaeton hit single by Puerto Rican artist Daddy Yankee that gained international popularity for its catchy rhythm and danceable beat.
  • C. Dura
    Dura is an ancient city on the Euphrates River, best known as the archaeological site of Dura-Europos in present-day Syria.
  • D. Dura
    Dura is a central protagonist named in the work "Flux," around whom the story’s main events and character development revolve.
  • E. Duro
    Duro is a music artist known for creating the track featured in the song "Glitter."
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c0c4f48190a75473a7835014f1 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.