Triple
T16231503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line P |
E393992
|
entity |
| Predicate | usesStation |
P726
|
FINISHED |
| Object | Provins station |
E833193
|
NE 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: Provins station | Statement: [Transilien Line P, usesStation, Provins station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Provins station Context triple: [Transilien Line P, usesStation, Provins station]
-
A.
Provins station
chosen
Provins station is a railway terminus in the town of Provins, France, serving as the endpoint of regional train services connecting the historic medieval city to the Paris area.
-
B.
Épinal station
Épinal station is a French railway station serving the town of Épinal in the Vosges department of northeastern France, providing regional and intercity rail connections.
-
C.
Troyes station
Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
-
D.
Reims-Maison-Blanche station
Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
-
E.
Miromesnil station
Miromesnil station is a Paris Métro station in the 8th arrondissement, serving lines 9 and 13 near major boulevards and government buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed71f488190bcdc2dcc74e5c5d3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.