Triple

T38108955
Position Surface form Disambiguated ID Type / Status
Subject Mangho Pir E951601 entity
Predicate locatedShrineIn P193903 FINISHED
Object northwestern Karachi LITERAL 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: northwestern Karachi | Statement: [Mangho Pir, locatedShrineIn, northwestern Karachi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedShrineIn
Context triple: [Mangho Pir, locatedShrineIn, northwestern Karachi]
  • A. possibleShrineLocation
    Indicates that a location is suitable or designated as a potential site where a shrine could be placed or constructed.
  • B. placeOfShrine chosen
    Indicates the location where a shrine is situated or established.
  • C. hasNearbyShrine
    Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
  • D. containsShrine
    Indicates that one entity includes or has within its boundaries a shrine associated with it.
  • E. majorShrineLocation
    Indicates that a major religious shrine is located at or associated with a particular place or geographic location.
  • F. None of above.

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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.