Triple
T33451528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montecucco |
E856653
|
entity |
| Predicate | recognizedAsDOC |
P192392
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Montecucco, recognizedAsDOC, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsDOC Context triple: [Montecucco, recognizedAsDOC, 1998]
-
A.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
B.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
C.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
D.
documentFeature
Indicates that a document possesses, exhibits, or is characterized by a particular feature or attribute.
-
E.
documentTypeUsed
Indicates that a particular type or category of document is employed or applied in a given context or activity.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: May 1, 2026, 1:37 a.m.