Triple

T11652149
Position Surface form Disambiguated ID Type / Status
Subject Model Colony E276928 entity
Predicate adjacentTo P224 FINISHED
Object Malir Cantonment E303898 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: Malir Cantonment | Statement: [Model Colony, adjacentTo, Malir Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malir Cantonment
Context triple: [Model Colony, adjacentTo, Malir Cantonment]
  • A. Malir Cantonment chosen
    Malir Cantonment is a major military garrison and residential area located in the eastern part of Karachi, Pakistan.
  • B. Quetta Cantonment
    Quetta Cantonment is a major Pakistani military garrison area located in the city of Quetta, serving as a key base for the country's armed forces in Balochistan.
  • C. Peshawar Cantonment
    Peshawar Cantonment is a prominent military and residential area in Peshawar, Pakistan, known for its strategic importance and colonial-era infrastructure.
  • D. Rawalpindi Cantonment
    Rawalpindi Cantonment is a major military garrison area in Rawalpindi, Pakistan, housing key army installations and associated residential and commercial zones.
  • E. Rawalpindi District
    Rawalpindi District is an administrative district in Pakistan’s Punjab province that includes the city of Rawalpindi and surrounding urban and rural areas.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee880eccc4819096e2b3305cdb3239 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.