Triple
T30318289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partage de midi |
E771116
|
entity |
| Predicate | firstVersionWrittenInYear |
P51515
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [Partage de midi, firstVersionWrittenInYear, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVersionWrittenInYear Context triple: [Partage de midi, firstVersionWrittenInYear, 1905]
-
A.
firstVersionYear
chosen
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
B.
firstPartWrittenInYear
Indicates that the first part of a work was written in a specified year.
-
C.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
D.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
-
E.
firstSerializationYear
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01c5c5dbb881909b19ba87a7760ee7 |
completed | May 11, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_6a01c549af98819098e0effd775b7710 |
completed | May 11, 2026, 12:02 p.m. |
Created at: April 29, 2026, 7:51 p.m.