Triple

T13111032
Position Surface form Disambiguated ID Type / Status
Subject Palwal district E310969 entity
Predicate borderedBy P224 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: [Palwal district, borderedBy, Nuh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuh district
Context triple: [Palwal district, borderedBy, 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. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • E. Khuzdar District
    Khuzdar District is an administrative district in central Balochistan, Pakistan, known for its rugged terrain and strategic location along key regional routes.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.