Triple

T23014756
Position Surface form Disambiguated ID Type / Status
Subject Heth E573000 entity
Predicate associatedWithRegion P285 FINISHED
Object Canaan 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: Canaan | Statement: [Heth, associatedWithRegion, Canaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canaan
Context triple: [Heth, associatedWithRegion, Canaan]
  • A. Canaan chosen
    Canaan is the ancient Near Eastern land traditionally associated with the biblical Promised Land, encompassing parts of modern-day Israel, Palestine, Lebanon, and surrounding areas.
  • B. Canaan
    Canaan is an Iranian drama film directed by Mani Haghighi that explores complex emotional and social themes within contemporary Iranian society.
  • C. Cannan
    Cannan is a surname of English origin borne by various notable individuals, including politicians, writers, and public figures.
  • D. Madyan
    Madyan is a scenic hill town and tourist resort in Pakistan’s Swat Valley, known for its cool climate, river views, and surrounding mountains.
  • E. Edom
    Edom was an ancient kingdom in the southern Levant, traditionally associated with the descendants of Esau and located south of the Kingdom of Judah.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.