Triple
T19894444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Visitor |
E478113
|
entity |
| Predicate | includedInCollectionType |
P137737
|
FINISHED |
| Object | fix-up collection |
—
|
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: fix-up collection | Statement: [The Visitor, includedInCollectionType, fix-up collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInCollectionType Context triple: [The Visitor, includedInCollectionType, fix-up collection]
-
A.
includedInGenreCollection
Indicates that something is a member of, or contained within, a specific genre-based collection.
-
B.
displayedInCollection
Indicates that an item is or was shown as part of a particular collection or exhibition grouping.
-
C.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
-
D.
notableCollectionIncludes
Indicates that a notable or significant collection contains or features the specified item as one of its components.
-
E.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659105d7481909131d9907ac0094b |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.