Triple
T11411177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouest |
E270373
|
entity |
| Predicate | abbreviationOrShortForm |
P99168
|
FINISHED |
| Object | Ouest |
—
|
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: Ouest | Statement: [Ouest, abbreviationOrShortForm, Ouest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationOrShortForm Context triple: [Ouest, abbreviationOrShortForm, Ouest]
-
A.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
C.
abbreviationLength
Indicates that the relationship specifies or measures the length (number of characters) of an abbreviation associated with an entity.
-
D.
commonAbbreviationLanguage
Indicates that one language is commonly abbreviated or represented by another language or code in written or symbolic form.
-
E.
abbreviationOfUnit
Indicates that one term is an abbreviated form representing a specific unit of measurement.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8015017d08190b4020c76545556d6 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.