Triple

T33836929
Position Surface form Disambiguated ID Type / Status
Subject Andingmen Inner Street E867257 entity
Predicate followsFormerLocationOf P59528 FINISHED
Object Andingmen gate area of the Beijing city wall NE NERFINISHED

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: Andingmen gate area of the Beijing city wall | Statement: [Andingmen Inner Street, followsFormerLocationOf, Andingmen gate area of the Beijing city wall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsFormerLocationOf
Context triple: [Andingmen Inner Street, followsFormerLocationOf, Andingmen gate area of the Beijing city wall]
  • A. usesFormerRouteOf
    Indicates that one route, service, or pathway currently follows all or part of the alignment or path that was previously used by another route.
  • B. locatedAtFormer chosen
    Indicates that an entity is currently located at a place where another entity was previously located.
  • C. followedByRelocationOf
    Indicates that one event, state, or condition is immediately or subsequently succeeded by a relocation of an entity to a different place or position.
  • D. followsDepartureOf
    Indicates that one event or action occurs after and in sequence with the departure of another entity or event.
  • E. formerlyKnownLocationAs
    Indicates that an entity was previously known or referred to by a different location name or designation.
  • 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_69f34992ad40819087760ed939bd2a7a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: May 1, 2026, 1:47 a.m.