Triple

T30027394
Position Surface form Disambiguated ID Type / Status
Subject Bangi E762915 entity
Predicate hasPlannedTownship P22464 FINISHED
Object Bandar Baru Bangi E1859280 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: Bandar Baru Bangi | Statement: [Bangi, hasPlannedTownship, Bandar Baru Bangi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedTownship
Context triple: [Bangi, hasPlannedTownship, Bandar Baru Bangi]
  • A. isPlannedTown
    Indicates that a town has been deliberately designed and constructed according to a pre-established plan rather than developing organically over time.
  • B. hasPlannedCommunity
    Indicates that an entity is associated with or contains a community that has been intentionally designed and organized according to a specific development plan.
  • C. hasPlannedCity
    Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
  • D. hasTownship chosen
    Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
  • E. locatedInPlannedTown
    Indicates that an entity is situated within the boundaries of a town that has been deliberately planned or designed rather than having developed organically.
  • F. None of above.

Provenance (4 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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28e43ffb288190b6391ce1031e03a2 completed June 10, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 29, 2026, 6:49 p.m.