Triple

T19290207
Position Surface form Disambiguated ID Type / Status
Subject Districts of Haryana E482420 entity
Predicate hasPart P35 FINISHED
Object Nuh 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: Nuh district | Statement: [Districts of Haryana, hasPart, Nuh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuh district
Context triple: [Districts of Haryana, hasPart, Nuh district]
  • A. Nuh district chosen
    Nuh district is an administrative district in the Indian state of Haryana, known for its predominantly rural character and proximity to the National Capital Region.
  • B. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • C. Miyan Nasheen District
    Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
  • D. Qalandar District
    Qalandar District is an administrative district located within Khost Province in southeastern Afghanistan.
  • E. Sheema District
    Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc050a888190ac204d1e736200c5 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.