Triple

T12190301
Position Surface form Disambiguated ID Type / Status
Subject Liaquatabad Town E290443 entity
Predicate borderedBy P224 FINISHED
Object Gulshan-e-Iqbal Town E680897 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: Gulshan-e-Iqbal Town | Statement: [Liaquatabad Town, borderedBy, Gulshan-e-Iqbal Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulshan-e-Iqbal Town
Context triple: [Liaquatabad Town, borderedBy, Gulshan-e-Iqbal Town]
  • A. Gulshan-e-Iqbal Town chosen
    Gulshan-e-Iqbal Town is a major residential and commercial neighborhood in Karachi, Pakistan, known for its educational institutions, parks, and busy urban centers.
  • B. Gulberg Town
    Gulberg Town is a residential and commercial locality in Karachi, Pakistan, known for its dense urban neighborhoods and bustling markets.
  • C. Shah Faisal Colony
    Shah Faisal Colony is a densely populated residential and commercial neighborhood in Karachi, Pakistan, known for its urban bustle and diverse working-class community.
  • D. Malir Cantonment
    Malir Cantonment is a major military garrison and residential area located in the eastern part of Karachi, Pakistan.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.