Triple
T32079916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | deelgemeente |
E819265
|
entity |
| Predicate | equivalentTermInFrench |
P156673
|
FINISHED |
| Object | section de commune |
—
|
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: section de commune | Statement: [deelgemeente, equivalentTermInFrench, section de commune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentTermInFrench Context triple: [deelgemeente, equivalentTermInFrench, section de commune]
-
A.
equivalentTitleInFrench
Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
-
B.
cognateInFrench
chosen
Indicates that a given word has a corresponding French word with a common etymological origin and similar form or meaning.
-
C.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
D.
correspondsToAbbreviationInFrench
Indicates that one entity is the full form or expression for which the other entity serves as the abbreviation in French.
-
E.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
- 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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 12:24 a.m.