Triple
T20903556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzey |
E514731
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Jouy-en-Josas |
—
|
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: Jouy-en-Josas | Statement: [Alzey, hasTwinTown, Jouy-en-Josas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jouy-en-Josas Context triple: [Alzey, hasTwinTown, Jouy-en-Josas]
-
A.
Jouy-en-Josas
chosen
Jouy-en-Josas is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for hosting the HEC Paris business school.
-
B.
Jouy-le-Moutier
Jouy-le-Moutier is a commune in the Val-d'Oise department in the Île-de-France region of northern France, situated in the northwestern suburbs of Paris.
-
C.
L’Haÿ-les-Roses
L’Haÿ-les-Roses is a suburban commune in the southern outskirts of Paris, France, known for its historic rose garden and residential character.
-
D.
Juilly
Juilly is a commune in north-central France known for its historic Collège de Juilly, one of the country’s oldest educational institutions.
-
E.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.