Triple
T24246655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chillida-Leku Museum |
E603392
|
entity |
| Predicate | hasNotableWorkOnDisplay |
P61425
|
FINISHED |
| Object | large-scale steel sculptures by Eduardo Chillida |
—
|
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: large-scale steel sculptures by Eduardo Chillida | Statement: [Chillida-Leku Museum, hasNotableWorkOnDisplay, large-scale steel sculptures by Eduardo Chillida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWorkOnDisplay Context triple: [Chillida-Leku Museum, hasNotableWorkOnDisplay, large-scale steel sculptures by Eduardo Chillida]
-
A.
hasNotableWorkCollection
Indicates that an entity is associated with a collection of its notable works or creations.
-
B.
hasNotableWorkExample
chosen
Indicates that an entity has a specific notable work cited as an example associated with it.
-
C.
hasNotableWorkSetThere
Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
-
D.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
-
E.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b85349481909c21dacd48df7b8e |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.