Triple
T6526272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy Twombly Gallery |
E151309
|
entity |
| Predicate | dedicatedSpaceFor |
P1283
|
FINISHED |
| Object | permanent Cy Twombly installations |
—
|
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: permanent Cy Twombly installations | Statement: [Cy Twombly Gallery, dedicatedSpaceFor, permanent Cy Twombly installations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedSpaceFor Context triple: [Cy Twombly Gallery, dedicatedSpaceFor, permanent Cy Twombly installations]
-
A.
offersMoreSpaceThan
Indicates that one entity provides a greater amount of space or capacity than another entity.
-
B.
dedicated
chosen
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
C.
publicSpacesUsed
Indicates that certain public spaces are being utilized or occupied for a particular purpose or activity.
-
D.
reservedFor
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
-
E.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada77b448190b6e0e07494fb4dd3 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.