Triple
T18759120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundació Antoni Tàpies |
E458723
|
entity |
| Predicate | primaryCollectionOf |
P133432
|
FINISHED |
| Object | works by Antoni Tàpies |
—
|
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: works by Antoni Tàpies | Statement: [Fundació Antoni Tàpies, primaryCollectionOf, works by Antoni Tàpies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCollectionOf Context triple: [Fundació Antoni Tàpies, primaryCollectionOf, works by Antoni Tàpies]
-
A.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
B.
primaryCollectionPeriod
Indicates the main time span during which data, items, or observations are initially collected or gathered.
-
C.
primarySeries
Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or belongs.
-
D.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
E.
primaryReference
Indicates that one entity serves as the main or authoritative source of information or citation for another entity.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7db2f48190a4f1c5c9801fe180 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.