Triple

T18515156
Position Surface form Disambiguated ID Type / Status
Subject Shahdara E452439 entity
Predicate administrativeDistrict P2709 FINISHED
Object Shahdara district E472054 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: Shahdara district | Statement: [Shahdara, administrativeDistrict, Shahdara district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahdara district
Context triple: [Shahdara, administrativeDistrict, Shahdara district]
  • A. Shahdara district chosen
    Shahdara district is an administrative district in the eastern part of Delhi, India, known for its dense urban neighborhoods and historic marketplaces.
  • B. Sherani District
    Sherani District is an administrative district in Pakistan’s Balochistan province, predominantly inhabited by Pashtun communities and characterized by its rugged, mountainous terrain.
  • C. Umarkot District
    Umarkot District is an administrative district in the Sindh province of Pakistan, known for its historical significance and cultural heritage.
  • D. Atghar District
    Atghar District is an administrative district located within Zabul Province in southern Afghanistan.
  • E. Chaman District
    Chaman District is an administrative district in Pakistan’s Balochistan province, centered on the border town of Chaman adjacent to Afghanistan.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53349415c8190b989b536e2d1c40a completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f87c67d88190a87482eccaf91270 completed May 13, 2026, 10:17 p.m.
Created at: April 10, 2026, 11:36 a.m.