Triple

T15474230
Position Surface form Disambiguated ID Type / Status
Subject Nara Canal E376742 entity
Predicate flowsThrough P225 FINISHED
Object Sanghar District E1065036 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: Sanghar District | Statement: [Nara Canal, flowsThrough, Sanghar District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanghar District
Context triple: [Nara Canal, flowsThrough, Sanghar District]
  • A. Sanghar District chosen
    Sanghar District is an administrative district in the Sindh province of Pakistan, known for its predominantly agricultural economy and cotton production.
  • B. Jamshoro District
    Jamshoro District is an administrative district in the Sindh province of Pakistan, known for hosting major educational institutions and lying along the Indus River near Hyderabad and Karachi.
  • C. Atghar District
    Atghar District is an administrative district located within Zabul Province in southern Afghanistan.
  • D. 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.
  • E. Tor Ghar District
    Tor Ghar District is a mountainous administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its rugged terrain and predominantly Pashtun population.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36595bfc8190a0d60b3cb875ccc5 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:34 a.m.