Triple

T17056508
Position Surface form Disambiguated ID Type / Status
Subject Ali Sadpara E413834 entity
Predicate placeOfBirth P1 FINISHED
Object Sadpara E1247859 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: Sadpara | Statement: [Ali Sadpara, placeOfBirth, Sadpara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadpara
Context triple: [Ali Sadpara, placeOfBirth, Sadpara]
  • A. Sadpara chosen
    Sadpara is a surname most prominently associated with Pakistani high-altitude mountaineer Ali Sadpara.
  • B. Paraiya
    Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
  • C. Agarpara
    Agarpara is a suburban locality in the northern part of Kolkata, West Bengal, known primarily as a residential and industrial area within the Kolkata metropolitan region.
  • D. Padampur
    Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
  • E. Parsabad
    Parsabad is a significant urban and agricultural center in Iran’s Ardabil Province, near the border with Azerbaijan.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7a96288190bd985f79c3f55623 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed7f6fc81908d27a6581fcfa265 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.