Triple

T22042797
Position Surface form Disambiguated ID Type / Status
Subject Sarazi E544680 entity
Predicate region P40 FINISHED
Object Ramban district 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: Ramban district | Statement: [Sarazi, region, Ramban district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramban district
Context triple: [Sarazi, region, Ramban district]
  • A. Ramban district chosen
    Ramban district is an administrative district in the Jammu region of the Indian union territory of Jammu and Kashmir, known for its mountainous terrain and location along the Jammu–Srinagar National Highway.
  • B. Karukh District
    Karukh District is an administrative district in western Afghanistan known for its rural communities and agricultural economy within Herat Province.
  • C. Chagai District
    Chagai District is a large, sparsely populated administrative district in Balochistan, Pakistan, known for its desert landscape and for being the site of Pakistan’s 1998 nuclear tests at Chagai Hills.
  • D. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • E. Nishon District
    Nishon District is an administrative district located within Uzbekistan's Qashqadaryo Region, known for its agricultural activities and rural settlements.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282ac42c819099b2f664f79f5b83 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.