Triple

T16731804
Position Surface form Disambiguated ID Type / Status
Subject Faridabad division E406608 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Nuh district E406607 NE FINISHED

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: [Faridabad division, hasJurisdictionOver, Nuh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuh district
Context triple: [Faridabad division, hasJurisdictionOver, 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 (3 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a519a89081909456bb6fc25d9234 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.