Triple

T15672607
Position Surface form Disambiguated ID Type / Status
Subject Guddu E377352 entity
Predicate partOf P40 FINISHED
Object Kashmore District E377677 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: Kashmore District | Statement: [Guddu, partOf, Kashmore District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashmore District
Context triple: [Guddu, partOf, Kashmore District]
  • A. Kashmore District chosen
    Kashmore District is an administrative district in the Sindh province of Pakistan, known for its location near the Indus River and its role as a regional agricultural and trade center.
  • B. Gaffer District
    The Gaffer District is a historic downtown neighborhood in Corning, New York, known for its preserved 19th-century architecture, shops, restaurants, and glass-focused arts and culture.
  • C. Mustang District
    Mustang District is a remote, mountainous district in north-central Nepal known for its arid trans-Himalayan landscapes, Tibetan-influenced culture, and historic walled city of Lo Manthang.
  • D. Baney District
    Baney District is an administrative district in Equatorial Guinea centered around the town of Baney on the island of Bioko.
  • E. Lloyd District
    The Lloyd District is a major commercial and entertainment area in northeast Portland, Oregon, known for its shopping centers, office towers, and event venues.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f13b1b08190beabc9f4098aa096 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756b9af48190a634f23ace966ae9 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:16 a.m.