Triple

T12336104
Position Surface form Disambiguated ID Type / Status
Subject Karachi Malir District E294088 entity
Predicate contains P35 FINISHED
Object Landhi E276926 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 | Statement: [Karachi Malir District, contains, Landhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landhi
Context triple: [Karachi Malir District, contains, Landhi]
  • A. Landhi chosen
    Landhi is a major residential and industrial neighborhood in Karachi, Pakistan, known for its dense population and manufacturing zones.
  • B. Lahndi
    Lahndi is an Indo-Aryan language (or group of dialects) spoken primarily in western parts of Pakistan, often considered a dialect continuum between Punjabi and Sindhi.
  • C. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • D. Paraiya
    Paraiya is a village and administrative block in Bihar, India, known as one of the community development blocks within Gaya district.
  • E. Wiradhuri
    Wiradhuri refers to the Wiradjuri people, one of the largest Aboriginal groups in New South Wales, Australia, known for their rich cultural traditions and strong connection to the land.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.