Triple

T9630259
Position Surface form Disambiguated ID Type / Status
Subject Kluang E232783 entity
Predicate stateCapitalOf P6344 FINISHED
Object Kluang District E232783 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: Kluang District | Statement: [Kluang, stateCapitalOf, Kluang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kluang District
Context triple: [Kluang, stateCapitalOf, Kluang District]
  • A. Kluang chosen
    Kluang is a town and district capital located in the central part of Johor, Malaysia, known for its coffee culture and surrounding agricultural areas.
  • B. Kuala Kangsar District
    Kuala Kangsar District is an administrative district in the state of Perak, Malaysia, known for encompassing the royal town of Kuala Kangsar, the traditional seat of the Perak Sultanate.
  • C. Johor Bahru District
    Johor Bahru District is an administrative district in the state of Johor, Malaysia, encompassing the city of Johor Bahru and its surrounding areas.
  • D. Kuala Pilah District
    Kuala Pilah District is an inland administrative district in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and rural landscapes.
  • E. Sepang District
    Sepang District is an administrative district in the southern part of Selangor, Malaysia, known for hosting major infrastructure and motorsport venues and forming part of the greater Kuala Lumpur metropolitan area.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:11 p.m.