Triple

T9890786
Position Surface form Disambiguated ID Type / Status
Subject Quadrilateral Security Dialogue E181443 entity
Predicate initialMeetingLocation P61227 FINISHED
Object on the sidelines of the ASEAN Regional Forum in Manila 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: on the sidelines of the ASEAN Regional Forum in Manila | Statement: [Quadrilateral Security Dialogue, initialMeetingLocation, on the sidelines of the ASEAN Regional Forum in Manila]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialMeetingLocation
Context triple: [Quadrilateral Security Dialogue, initialMeetingLocation, on the sidelines of the ASEAN Regional Forum in Manila]
  • A. firstMeetingPlace chosen
    Indicates the location where two or more entities met each other for the very first time.
  • B. meetingPlaceOf
    Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
  • C. previousMeetingPlace
    Indicates the location where two or more entities met on a prior occasion.
  • D. locationOfLaterMeeting
    Indicates the place where a subsequent or future meeting is scheduled or expected to occur.
  • E. hasMeetingLocation
    Indicates that an entity (such as a meeting or event) takes place at or is associated with a specific location.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69cd1d872d50819096b7ab166a8decf1 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:39 p.m.