Triple
T28099996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congrès de Tours de 1920 |
E710204
|
entity |
| Predicate | abréviation |
P43
|
FINISHED |
| Object | Congrès de Tours |
—
|
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: Congrès de Tours | Statement: [Congrès de Tours de 1920, abréviation, Congrès de Tours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abréviation Context triple: [Congrès de Tours de 1920, abréviation, Congrès de Tours]
-
A.
abbreviation
chosen
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
C.
abreviaturaFrecuente
Indicates that one term is a common or frequently used abbreviation of another term.
-
D.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
E.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f640908b208190857b085879e60e1c |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:04 p.m.