Triple

T9050255
Position Surface form Disambiguated ID Type / Status
Subject SGN E216863 entity
Predicate alternativeNameContext P78012 FINISHED
Object Ho Chi Minh City Airport code 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: Ho Chi Minh City Airport code | Statement: [SGN, alternativeNameContext, Ho Chi Minh City Airport code]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alternativeNameContext
Context triple: [SGN, alternativeNameContext, Ho Chi Minh City Airport code]
  • A. alternativeNameMeaning
    Indicates that one entity expresses the meaning or interpretation of an alternative name used for another entity.
  • B. hasAlternativeNameForSameCity
    Indicates that one city name is an alternative or variant name referring to the same city as another name.
  • C. namedInContextOf
    Indicates that an entity is mentioned or identified specifically within a particular context, situation, or frame of reference.
  • D. associatedName
    Indicates that one entity has an alternative or related name that is linked or connected to another entity.
  • E. alsoKnownThrough chosen
    Indicates that an entity is recognized or identified by means of another entity, such as a source, context, or intermediary, through which its alternative name or identity is known.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b52cc1881909fb011d9a8af2e18 completed April 1, 2026, 12:48 a.m.
PD Predicate disambiguation batch_69cc5ee566b081909e3cdaf551dbd0ec completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:10 p.m.