Triple

T20443238
Position Surface form Disambiguated ID Type / Status
Subject Kalehe Territory E501448 entity
Predicate hasMajorSettlement P316 FINISHED
Object Kalehe 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: Kalehe | Statement: [Kalehe Territory, hasMajorSettlement, Kalehe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalehe
Context triple: [Kalehe Territory, hasMajorSettlement, Kalehe]
  • A. Kalehe chosen
    Kalehe is a town in the eastern Democratic Republic of the Congo, located along Lake Kivu in South Kivu Province.
  • B. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • C. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • D. Kahat
    Kahat is an ancient Near Eastern city, identified with the archaeological site of Tell Barri in northeastern Syria.
  • E. Chufut-Kale
    Chufut-Kale is a historic cave city and fortress in Crimea, known for its well-preserved medieval structures and significance to Crimean Karaite and Tatar history.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfa7dd08190883a37e3480b152c completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.