Triple

T14063108
Position Surface form Disambiguated ID Type / Status
Subject Punjab Province (British India) E338394 entity
Predicate borderedBy P224 FINISHED
Object Sind E4844 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: Sind | Statement: [Punjab Province (British India), borderedBy, Sind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sind
Context triple: [Punjab Province (British India), borderedBy, Sind]
  • A. Sind chosen
    Sind was a historical province in the northwest of the Indian subcontinent, centered around the lower Indus River and now largely corresponding to the Sindh region of modern-day Pakistan.
  • B. Sis
    Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
  • C. Sis
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • D. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • E. Sinda
    Sinda is a town in eastern Zambia situated along the Great East Road, serving as a local commercial and transit hub for the surrounding rural area.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.