Triple

T30075209
Position Surface form Disambiguated ID Type / Status
Subject Imperial General Headquarters E764298 entity
Predicate headquartersBuildingLocation P129113 FINISHED
Object Tokyo Imperial Palace area 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: Tokyo Imperial Palace area | Statement: [Imperial General Headquarters, headquartersBuildingLocation, Tokyo Imperial Palace area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headquartersBuildingLocation
Context triple: [Imperial General Headquarters, headquartersBuildingLocation, Tokyo Imperial Palace area]
  • A. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. headquartersSuccessorOrganizationLocation
    Indicates that the location served as the headquarters for a successor organization that followed a previous entity.
  • C. headquartersAt chosen
    Indicates that an organization’s main administrative center or primary office is located at a specified place.
  • D. headquartersLocationOfFoundedOrganization
    Indicates that a location serves as the headquarters of an organization that was founded there.
  • E. hasHeadquartersBuilding
    Indicates that an organization possesses a specific building that serves as its headquarters 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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3cbff081909d4e64ee63f43ea5 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f673c664f08190b4d66cdc305e10db completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:01 p.m.