Triple

T16477920
Position Surface form Disambiguated ID Type / Status
Subject Gibeonites E400235 entity
Predicate locatedIn P40 FINISHED
Object Gibeon E1131369 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: Gibeon | Statement: [Gibeonites, locatedIn, Gibeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibeon
Context triple: [Gibeonites, locatedIn, Gibeon]
  • A. Gibeon chosen
    Gibeon was an ancient Canaanite city-state, later integrated into Israelite territory, known from biblical accounts for its treaty with Joshua and its strategic location in the central hill country of Palestine.
  • B. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • C. Canaan City
    Canaan City is a popular nickname for Calabar, a historic coastal city in southeastern Nigeria known for its rich culture and tourism.
  • D. Beersheba
    Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
  • E. Ishmaelia
    Ishmaelia is the fictional East African country in Evelyn Waugh’s satirical novel "Scoop," depicted as a chaotic hotspot of political intrigue and journalistic misadventure.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e0013ac8190b607d5f47d17c501 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581ebe888190a331974473f1be1a completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.