Triple

T12581475
Position Surface form Disambiguated ID Type / Status
Subject North Karachi E300348 entity
Predicate hasSubdivision P747 FINISHED
Object Sector 11-Q E991091 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: Sector 11-Q | Statement: [North Karachi, hasSubdivision, Sector 11-Q]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sector 11-Q
Context triple: [North Karachi, hasSubdivision, Sector 11-Q]
  • A. Sector 11-K chosen
    Sector 11-K is a residential neighborhood located within the North Karachi area of Karachi, Pakistan.
  • B. Sector 11
    Sector 11 is a residential and commercial neighborhood located within the North Karachi area of Karachi, Pakistan.
  • C. Sector 1
    Sector 1 is a central administrative district of Bucharest, Romania, known for its affluent neighborhoods, major cultural institutions, and key government buildings.
  • D. Sector 1
    Sector 1 is the prestigious Capitol Complex sector of Chandigarh, India, housing key government buildings and monumental civic architecture designed by Le Corbusier.
  • E. Sector 5
    Sector 5 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential neighborhoods, commercial areas, and historical sites.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebab65081908a174586f0ebb16f completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:02 p.m.