Triple

T27628172
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Sports Complex E696265 entity
Predicate operatedBy P86 FINISHED
Object Pakistan Sports Board
Pakistan Sports Board is the federal government body responsible for promoting, developing, and regulating sports and athletic infrastructure across Pakistan.
E1779814 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: Pakistan Sports Board | Statement: [Pakistan Sports Complex, operatedBy, Pakistan Sports Board]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pakistan Sports Board
Triple: [Pakistan Sports Complex, operatedBy, Pakistan Sports Board]
Generated description
Pakistan Sports Board is the federal government body responsible for promoting, developing, and regulating sports and athletic infrastructure across Pakistan.

Provenance (5 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_69ef59092c8881908114ad184248cc46 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f631220ea08190a0cc33910f839185 completed May 2, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0f939b08190b478f32c0c590f8c completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d1a671948190add200d3ab2db641 completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d270e0dc81909c04761a32c1e652 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 2:19 p.m.