Triple
T17087337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crosby Beach |
E414631
|
entity |
| Predicate | sculptureInstallationStart |
P125834
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Crosby Beach, sculptureInstallationStart, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sculptureInstallationStart Context triple: [Crosby Beach, sculptureInstallationStart, 2005]
-
A.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
B.
artStyleOfEnclosingSculpture
Indicates that one entity specifies the artistic style or aesthetic category of a surrounding or enclosing sculpture associated with another entity.
-
C.
sculpturesNowIn
Indicates that certain sculptures are currently located in or held by a specified place or collection.
-
D.
completionOfSculptures
Indicates that one entity is responsible for finishing or bringing to completion the creation or production of sculptures associated with another entity.
-
E.
sculptureParkName
Indicates that a sculpture park has the specified name.
- F. None of above. chosen
Provenance (4 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe7ccb48190b8fb39e2a0ba0782 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.