Triple

T26779934
Position Surface form Disambiguated ID Type / Status
Subject Great Hall (Denver Union Station) E670218 entity
Predicate openedAsRenovatedSpace P170634 FINISHED
Object 2014 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: 2014 | Statement: [Great Hall (Denver Union Station), openedAsRenovatedSpace, 2014]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedAsRenovatedSpace
Context triple: [Great Hall (Denver Union Station), openedAsRenovatedSpace, 2014]
  • A. mayBeRenovatedFor
    Indicates that something has the potential to be renovated or modified for use by or in connection with another entity or purpose.
  • B. wasRenovatedFor
    Indicates that an existing entity underwent renovation specifically to serve the needs, purposes, or use of another entity.
  • C. capacityAfterRenovation
    Indicates the number of occupants or units a place can hold once renovation work has been completed.
  • D. renovatedFrom
    Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
  • E. renovatedBy
    Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
  • F. None of above. chosen

Provenance (4 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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f693ffa7908190aa4c451b16df9be6 completed May 3, 2026, 12:17 a.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
PDg Predicate description generation batch_69f6938244648190a553b532387b812c completed May 3, 2026, 12:14 a.m.
Created at: April 27, 2026, 4:08 a.m.