Triple

T9012970
Position Surface form Disambiguated ID Type / Status
Subject Klang Valley E215519 entity
Predicate containsCity P294 FINISHED
Object Ampang Jaya E270663 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: Ampang Jaya | Statement: [Klang Valley, containsCity, Ampang Jaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ampang Jaya
Context triple: [Klang Valley, containsCity, Ampang Jaya]
  • A. Ampang Jaya chosen
    Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
  • B. Bandar Seri Jempol
    Bandar Seri Jempol is a principal town and local commercial hub in the Jempol District of Negeri Sembilan, Malaysia.
  • C. Ampang Tinggi
    Ampang Tinggi is a small town in the Kuala Pilah District of Negeri Sembilan, Malaysia, known for its traditional Malay village setting and local cultural heritage.
  • D. Batu Pahat
    Batu Pahat is a coastal town and important commercial and industrial hub in the Malaysian state of Johor.
  • 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_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_69d047665204819090fe9c74fd64659e completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:06 p.m.