Triple
T24581373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delors Report |
E608257
|
entity |
| Predicate | hasAuthoringBody |
P27357
|
FINISHED |
| Object | Delors Committee |
—
|
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: Delors Committee | Statement: [Delors Report, hasAuthoringBody, Delors Committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthoringBody Context triple: [Delors Report, hasAuthoringBody, Delors Committee]
-
A.
authoringBody
chosen
Indicates the organization or group that is responsible for creating or issuing a given work, document, or resource.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasAuthorType
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasAuthorialMethod
Indicates that an entity employs or is characterized by a particular authorial method, technique, or approach in its creation or expression.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a982db00819081038adce05c0b52 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.