Triple
T22960546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan and Trumbull Streets, Detroit |
E570882
|
entity |
| Predicate | afterDemolitionUse |
P43161
|
FINISHED |
| Object | open field and later redevelopment site |
—
|
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: open field and later redevelopment site | Statement: [Michigan and Trumbull Streets, Detroit, afterDemolitionUse, open field and later redevelopment site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterDemolitionUse Context triple: [Michigan and Trumbull Streets, Detroit, afterDemolitionUse, open field and later redevelopment site]
-
A.
siteUseAfterDemolition
chosen
Indicates the subsequent use or function assigned to a site following the demolition of its previous structures.
-
B.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of another entity.
-
C.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
-
D.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
E.
demolishedAfterEvent
Indicates that one entity (typically a structure) was demolished after the occurrence of a specified event.
- 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.