Triple

T2727952
Position Surface form Disambiguated ID Type / Status
Subject Malir District E60238 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: [Malir District, contains, Landhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landhi
Context triple: [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. 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.
  • C. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • D. Shalin
    Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • E. Ghunsa
    Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.