Triple
T9858782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fundació Joan Miró |
E239653
|
entity |
| Predicate | hasCollectionContent |
P90926
|
FINISHED |
| Object | paintings by Joan Miró |
—
|
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: paintings by Joan Miró | Statement: [Fundació Joan Miró, hasCollectionContent, paintings by Joan Miró]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionContent Context triple: [Fundació Joan Miró, hasCollectionContent, paintings by Joan Miró]
-
A.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasCollectionAt
Indicates that a collection or gathering of items, data, or resources is located, stored, or maintained at a specific place or context.
-
C.
hasCollectionItemBy
Indicates that an entity possesses or includes a specific item as part of its collection, identified or referenced by some key or identifier.
-
D.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
-
E.
hasCollectionType
Indicates that an entity is associated with or organized under a specific type or category of collection.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39b06b48190ab53ff00ff0513ca |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:35 p.m.