Triple

T37270506
Position Surface form Disambiguated ID Type / Status
Subject U.S. Department of Transportation headquarters E924499 entity
Predicate previousLocationOfAgency P54261 FINISHED
Object Nassif Building, L’Enfant Plaza 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: Nassif Building, L’Enfant Plaza | Statement: [U.S. Department of Transportation headquarters, previousLocationOfAgency, Nassif Building, L’Enfant Plaza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousLocationOfAgency
Context triple: [U.S. Department of Transportation headquarters, previousLocationOfAgency, Nassif Building, L’Enfant Plaza]
  • A. headquartersPreviousLocation chosen
    Indicates that an entity’s headquarters used to be located at a specified place before moving to its current location.
  • B. previousLocationName
    Indicates that one entity specifies the name of a location where another entity was situated or occurred before its current location.
  • C. formerLocationNow
    Indicates that an entity used to be located at a place in the past but is no longer located there now.
  • D. formerlyLocatedOn
    Indicates that an entity was once located on or situated upon another entity, but is no longer in that position.
  • E. previousOffice
    Indicates that one office or position was held immediately before another in a sequence of offices.
  • 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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffc516d1908190b475f5a6156b0ca8 completed May 9, 2026, 11:36 p.m.
PD Predicate disambiguation batch_69ffc4a946e08190b3535a5dc15ac484 completed May 9, 2026, 11:35 p.m.
Created at: May 3, 2026, 4:15 p.m.