Triple
T22993858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontenay-aux-Roses |
E572128
|
entity |
| Predicate | isPartOfCanton |
P4962
|
FINISHED |
| Object | Fontenay-aux-Roses |
—
|
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: Fontenay-aux-Roses | Statement: [Fontenay-aux-Roses, isPartOfCanton, Fontenay-aux-Roses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCanton Context triple: [Fontenay-aux-Roses, isPartOfCanton, Fontenay-aux-Roses]
-
A.
operatesInCanton
Indicates that an entity conducts its activities or has operational presence within a specified canton.
-
B.
hasCanton
chosen
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
C.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
D.
establishedAsCanton
Indicates that an entity was formally created or designated as a canton within an administrative or political system.
-
E.
joinedCanton
Indicates that an entity became a member of, or was incorporated into, a specific canton.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f1940c8190a5645ee8d8e5e063 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.