Triple
T20941460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalby depot |
E515730
|
entity |
| Predicate | servesLine |
P839
|
FINISHED |
| Object | Nantes tram Line 1 |
—
|
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: Nantes tram Line 1 | Statement: [Dalby depot, servesLine, Nantes tram Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nantes tram Line 1 Context triple: [Dalby depot, servesLine, Nantes tram Line 1]
-
A.
Nantes tramway
chosen
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.
-
B.
Saint-Étienne tramway
The Saint-Étienne tramway is one of France’s oldest urban tram networks, serving the city of Saint-Étienne and its suburbs with electric light-rail transit.
-
C.
Orléans tramway
The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
-
D.
Tramway de Tours
Tramway de Tours is the modern light rail system serving the city of Tours in central France, providing urban and suburban public transportation along dedicated tram lines.
-
E.
Valenciennes tramway
The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f955f0148190ae42278ad5c0f363 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.