Triple
T22626344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Flavin Art Institute, Bridgehampton installation |
E558428
|
entity |
| Predicate | permanentSpaceFor |
P4923
|
FINISHED |
| Object | Dan Flavin’s fluorescent light works |
—
|
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: Dan Flavin’s fluorescent light works | Statement: [Dan Flavin Art Institute, Bridgehampton installation, permanentSpaceFor, Dan Flavin’s fluorescent light works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentSpaceFor Context triple: [Dan Flavin Art Institute, Bridgehampton installation, permanentSpaceFor, Dan Flavin’s fluorescent light works]
-
A.
makesRoomFor
Indicates that one entity creates or provides space, opportunity, or capacity for another entity to exist, act, or be accommodated.
-
B.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
-
C.
publicSpacesUsed
Indicates that certain public spaces are being utilized or occupied for a particular purpose or activity.
-
D.
baseSpacePreserved
Indicates that a mapping between fiber bundles preserves the underlying base space, leaving the base points unchanged.
-
E.
reservedFor
chosen
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3d55b081908930ebff4372154f |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:01 p.m.