Triple

T30726930
Position Surface form Disambiguated ID Type / Status
Subject Ho Chi Minh City bus network E782301 entity
Predicate primaryModeOf P1302 FINISHED
Object public transport in Ho Chi Minh City LITERAL 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: public transport in Ho Chi Minh City | Statement: [Ho Chi Minh City bus network, primaryModeOf, public transport in Ho Chi Minh City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryModeOf
Context triple: [Ho Chi Minh City bus network, primaryModeOf, public transport in Ho Chi Minh City]
  • A. primaryMode chosen
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • B. primaryModes
    Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
  • C. primarySingle
    Indicates that an entity has exactly one main or primary association of the specified type, with no additional concurrent primary associations.
  • D. primaryFor
    Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
  • E. primaryUseOf
    Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
  • F. None of above.

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_69f224ad9f9c81908e02a79ae0001137 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a0332a08b48819094aaed6e04a36886 completed May 12, 2026, 2:01 p.m.
PD Predicate disambiguation batch_6a0331998a688190b5d919697d4231ac completed May 12, 2026, 1:56 p.m.
Created at: April 29, 2026, 8:37 p.m.