Triple
T11312501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neufchâtel |
E267873
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Reims tramway network |
E54426
|
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: Reims tramway network | Statement: [Neufchâtel, servedBy, Reims tramway network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reims tramway network Context triple: [Neufchâtel, servedBy, Reims tramway network]
-
A.
Tramway de Reims
chosen
Tramway de Reims is the modern light rail tram system serving the city of Reims in northeastern France, providing urban public transportation across the metropolitan area.
-
B.
Rouen tramway
The Rouen tramway is a light rail and tram system serving the city of Rouen and its suburbs in Normandy, France.
-
C.
Valenciennes tramway
The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
-
D.
Orléans tramway
The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
-
E.
Nantes tramway
The Nantes tramway is a modern light rail network in Nantes, France, that serves as a key component of the city's public transportation system.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d31322d48190aa93b7707ba6fb47 |
completed | April 20, 2026, 7:17 a.m. |
Created at: April 8, 2026, 9:32 p.m.