Triple

T22403483
Position Surface form Disambiguated ID Type / Status
Subject Nuba E553820 entity
Predicate locatedNear P294 FINISHED
Object Kharas 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: Kharas | Statement: [Nuba, locatedNear, Kharas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharas
Context triple: [Nuba, locatedNear, Kharas]
  • A. Kharas chosen
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • B. Kharax
    Kharax is a figure significant enough—likely a historical ruler, noble, or legendary personage—to have the Kharax Palace named in their honor.
  • C. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • D. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • E. Kharan
    Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b565c48190b0f6c19f17995b40 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.