Triple
T93929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finca Vigía |
E1887
|
entity |
| Predicate | collectionIncludes |
P1393
|
FINISHED |
| Object | Ernest Hemingway manuscripts |
—
|
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: Ernest Hemingway manuscripts | Statement: [Finca Vigía, collectionIncludes, Ernest Hemingway manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionIncludes Context triple: [Finca Vigía, collectionIncludes, Ernest Hemingway manuscripts]
-
A.
partOfCollection
Indicates that an entity belongs to, or is included within, a larger collection or set.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
D.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
E.
hasWorkInCollection
Indicates that a work or item is included as part of a particular 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.