Triple

T22652500
Position Surface form Disambiguated ID Type / Status
Subject Kumzar E559129 entity
Predicate locatedNear P294 FINISHED
Object Khasab 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: Khasab | Statement: [Kumzar, locatedNear, Khasab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khasab
Context triple: [Kumzar, locatedNear, Khasab]
  • A. Khasab chosen
    Khasab is a coastal city in Oman’s Musandam Peninsula known for its strategic location near the Strait of Hormuz and its role as a regional port and tourist gateway.
  • B. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • C. Hahaya
    Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
  • D. Khuzdar
    Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
  • E. Qakh
    Qakh is a town in northwestern Azerbaijan that serves as an administrative and cultural center near the border with Georgia and Russia.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703d7d648190aafe275cd04c47cf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:06 p.m.