Triple
T22562606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulhouse–Kruth railway |
E557854
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Cernay |
—
|
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: Cernay | Statement: [Mulhouse–Kruth railway, serves, Cernay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cernay Context triple: [Mulhouse–Kruth railway, serves, Cernay]
-
A.
Cernay
chosen
Cernay is a commune in the Haut-Rhin department of northeastern France, known for its location in the Alsace region and its historical and cultural heritage.
-
B.
Cernay
Cernay is a locality within the arrondissement of Argenteuil in the Île-de-France region of northern France.
-
C.
Cernay-la-Ville
Cernay-la-Ville is a small commune in the Yvelines department of north-central France, known for its rural character and proximity to the Rambouillet forest.
-
D.
Crouy
Crouy is a commune in northern France located in the Aisne department within the Hauts-de-France region.
-
E.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa6a928819083925ea23aaaf725 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.