Triple
T22960547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan and Trumbull Streets, Detroit |
E570882
|
entity |
| Predicate | demolitionOfStadiumCompleted |
P13073
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Michigan and Trumbull Streets, Detroit, demolitionOfStadiumCompleted, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionOfStadiumCompleted Context triple: [Michigan and Trumbull Streets, Detroit, demolitionOfStadiumCompleted, 2009]
-
A.
formerStadiumClosed
Indicates that a stadium, which previously served as the home venue for an entity, has been permanently closed.
-
B.
demolitionOfMainStructuresCompleted
Indicates that the primary buildings or main structural components of a site have been fully demolished.
-
C.
demolishedAfterEvent
Indicates that one entity (typically a structure) was demolished after the occurrence of a specified event.
-
D.
demolitionEnd
chosen
Indicates the point in time or event at which a demolition process is completed or comes to an end.
-
E.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f3c96081909abd6ec32103d4c3 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.