Triple

T530821
Position Surface form Disambiguated ID Type / Status
Subject Forbidden City E12217 entity
Predicate museumOpeningYear P12641 FINISHED
Object 1925 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: 1925 | Statement: [Forbidden City, museumOpeningYear, 1925]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: museumOpeningYear
Context triple: [Forbidden City, museumOpeningYear, 1925]
  • A. openedAsMuseumIn chosen
    Indicates that a place or building began operating as a museum in a specified year or at a specified time.
  • B. museumOpened
    Indicates that a museum has begun operating and is officially open to the public from a specific time or date.
  • C. openedToPublicAsMuseum
    Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
  • D. museumAt
    Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
  • E. majorMuseum
    Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b257108190a537dffbb9d621b5 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.