Triple
T5667689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep Train Arena |
E124895
|
entity |
| Predicate | developmentAfterDemolition |
P43161
|
FINISHED |
| Object | planned mixed-use development |
—
|
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: planned mixed-use development | Statement: [Sleep Train Arena, developmentAfterDemolition, planned mixed-use development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentAfterDemolition Context triple: [Sleep Train Arena, developmentAfterDemolition, planned mixed-use development]
-
A.
previousBuildingDemolished
Indicates that a building which previously occupied the same site or fulfilled the same role has been demolished.
-
B.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of another entity.
-
C.
siteUseAfterDemolition
chosen
Indicates the subsequent use or function assigned to a site following the demolition of its previous structures.
-
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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.