Triple

T28598535
Position Surface form Disambiguated ID Type / Status
Subject Ironworkers Memorial Second Narrows Crossing E723841 entity
Predicate hasCommemorativeNameChangeReason P156911 FINISHED
Object 1958 construction disaster 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: 1958 construction disaster | Statement: [Ironworkers Memorial Second Narrows Crossing, hasCommemorativeNameChangeReason, 1958 construction disaster]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommemorativeNameChangeReason
Context triple: [Ironworkers Memorial Second Narrows Crossing, hasCommemorativeNameChangeReason, 1958 construction disaster]
  • A. hasHistoricalNameChangeReason
    Indicates that there is a specific reason or cause associated with a change in an entity’s historical name.
  • B. renamedToCommemorate chosen
    Indicates that something has been given a new name specifically to honor or memorialize a person, event, or entity.
  • C. hasCommemorationName
    Indicates that an entity has a specific name used to commemorate or honor a person, event, or concept.
  • D. changedNameInHonorOf
    Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
  • E. تاريخ_تغيير_الاسم
    Indicates the date on which an entity’s name was changed.
  • 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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69ffcc6182b48190afb598ced6500e66 completed May 10, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69ffcbb363748190bc6f8d038fba44ff completed May 10, 2026, 12:05 a.m.
Created at: April 28, 2026, 4:23 a.m.