Triple

T13767814
Position Surface form Disambiguated ID Type / Status
Subject Bulukumba Regency E330795 entity
Predicate contains P35 FINISHED
Object Kajang District E1059840 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: Kajang District | Statement: [Bulukumba Regency, contains, Kajang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajang District
Context triple: [Bulukumba Regency, contains, Kajang District]
  • A. Kajang
    Kajang is a major town in the Hulu Langat District of Selangor, Malaysia, known for its satay and role as a rapidly developing suburban and commercial hub near Kuala Lumpur.
  • B. Kajang chosen
    Kajang is a traditional district in South Sulawesi, Indonesia, known for its indigenous Kajang community that maintains customary laws and a simple, nature-centered way of life.
  • C. Segamat District
    Segamat District is an inland administrative district in northern Johor, Malaysia, known for its agricultural activities—especially oil palm and rubber—and its role as a regional commercial hub.
  • D. Ngantang District
    Ngantang District is an administrative district in East Java, Indonesia, known for its highland landscapes and the presence of the Selorejo Dam and reservoir.
  • E. Subang Jaya
    Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0724ab481908448d71a1bd02253 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.