Triple

T9012971
Position Surface form Disambiguated ID Type / Status
Subject Klang Valley E215519 entity
Predicate containsCity P294 FINISHED
Object Kajang E215518 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 | Statement: [Klang Valley, containsCity, Kajang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajang
Context triple: [Klang Valley, containsCity, Kajang]
  • A. Kajang chosen
    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. 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.
  • C. Jasinga
    Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
  • D. Parung
    Parung is a district-level area in West Java, Indonesia, situated within the suburban region south of Jakarta and administered as part of Bogor Regency.
  • E. Kertajaya
    Kertajaya was a 13th-century king of the Kediri Kingdom in Java, remembered for his conflict with the emerging Singhasari kingdom and his role in the region’s political transition.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:06 p.m.