Triple

T17128328
Position Surface form Disambiguated ID Type / Status
Subject Nilokheri E415655 entity
Predicate locatedInSubdivision P40 FINISHED
Object Nilokheri tehsil E415655 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: Nilokheri tehsil | Statement: [Nilokheri, locatedInSubdivision, Nilokheri tehsil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilokheri tehsil
Context triple: [Nilokheri, locatedInSubdivision, Nilokheri tehsil]
  • A. Nilokheri chosen
    Nilokheri is a town in the Karnal district of Haryana, India, known for its agricultural surroundings and local educational institutions.
  • B. Rohri Tehsil
    Rohri Tehsil is an administrative subdivision centered on the historic town of Rohri in Sindh Province, Pakistan.
  • C. Sakrand Tehsil
    Sakrand Tehsil is an administrative subdivision and town in Sindh, Pakistan, known for its agricultural economy within the Nawabshah (Shaheed Benazirabad) region.
  • D. Samalkha tehsil
    Samalkha tehsil is an administrative subdivision in the northern Indian state of Haryana, known for its mix of rural settlements and growing small-scale industries.
  • E. Kandhkot Tehsil
    Kandhkot Tehsil is an administrative subdivision centered on the town of Kandhkot in Sindh Province, Pakistan.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0285a408190ae5e4c4679c07fbf completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414a51d4819086c2346fe2d4fce4 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.