Triple
T31630746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gala Dalí Castle Púbol |
E807155
|
entity |
| Predicate | acquisitionFor |
P16373
|
FINISHED |
| Object | Gala Dalí |
—
|
NE NERFINISHED |
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: Gala Dalí | Statement: [Gala Dalí Castle Púbol, acquisitionFor, Gala Dalí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionFor Context triple: [Gala Dalí Castle Púbol, acquisitionFor, Gala Dalí]
-
A.
acquiredFor
chosen
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
B.
acquisition
Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
-
C.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
D.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means of another entity.
-
E.
acquisitionTarget
Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 10:45 p.m.