Triple

T3644165
Position Surface form Disambiguated ID Type / Status
Subject Muhajir people E77257 entity
Predicate significantPopulationIn P1898 FINISHED
Object Mirpur Khas E78477 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: Mirpur Khas | Statement: [Muhajir people, significantPopulationIn, Mirpur Khas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirpur Khas
Context triple: [Muhajir people, significantPopulationIn, Mirpur Khas]
  • A. Mirpur Khas chosen
    Mirpur Khas is a major city in southeastern Pakistan known for its agricultural economy, particularly mango production, and its role as a regional commercial center.
  • B. Haripur
    Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
  • C. Malir Cantonment
    Malir Cantonment is a major military garrison and residential area located in the eastern part of Karachi, Pakistan.
  • D. 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.
  • E. Saddar Town
    Saddar Town is a central, densely populated urban area of Karachi known for its historic markets, colonial-era architecture, and major commercial and administrative centers.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3207688190b8d93e2e833b15a0 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.