Triple

T11781146
Position Surface form Disambiguated ID Type / Status
Subject Landhi Industrial Area E280148 entity
Predicate partOf P40 FINISHED
Object Landhi Town E939007 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: Landhi Town | Statement: [Landhi Industrial Area, partOf, Landhi Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landhi Town
Context triple: [Landhi Industrial Area, partOf, Landhi Town]
  • A. Landhi Town chosen
    Landhi Town was an administrative subdivision of Karachi, Pakistan, encompassing the industrial and residential area of Landhi.
  • B. Gadap Town
    Gadap Town is a large suburban and semi-rural administrative area on the outskirts of Karachi, Pakistan, known for its rapidly growing population and mix of urban and agricultural landscapes.
  • C. Bahan Township
    Bahan Township is a central urban township of Yangon, Myanmar, known for its residential neighborhoods, embassies, and proximity to major city landmarks.
  • D. Isa Town
    Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
  • E. Williams Town
    Williams Town is a small settlement located on Little Exuma in The Bahamas, known for its quiet beaches and traditional island character.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5623f708190a18aea570577a3f6 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090c828f0819097662c048542b5da completed April 28, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:42 p.m.