Triple
T33927365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Street Power Substation |
E869788
|
entity |
| Predicate | functionAfterAdaptiveReuse |
P46500
|
FINISHED |
| Object | gallery space |
—
|
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: gallery space | Statement: [Jessie Street Power Substation, functionAfterAdaptiveReuse, gallery space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionAfterAdaptiveReuse Context triple: [Jessie Street Power Substation, functionAfterAdaptiveReuse, gallery space]
-
A.
functionAfterConversion
chosen
Indicates that one function or behavior occurs as a result of, or is valid only after, a specified conversion has taken place.
-
B.
functionAfterSuppression
Indicates that one function or process occurs only after another has been suppressed or inhibited.
-
C.
classAfter
Indicates that one class or course occurs later in time or sequence than another class or course.
-
D.
implementedAfter
Indicates that one implementation occurs or is introduced only after another specified implementation has taken place or been completed.
-
E.
functionAfterCompletion
Indicates that one function or operation is executed only after another function or process has fully completed.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:49 a.m.