Triple
T20008811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal de la Robine |
E494531
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Narbonne city centre |
—
|
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: Narbonne city centre | Statement: [Canal de la Robine, passesThrough, Narbonne city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narbonne city centre Context triple: [Canal de la Robine, passesThrough, Narbonne city centre]
-
A.
Narbonne
chosen
Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
-
B.
Narbonne Cathedral
Narbonne Cathedral is a monumental Gothic Roman Catholic church in Narbonne, France, noted for its soaring choir and unfinished nave.
-
C.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
D.
Montcuq
Montcuq is a small, historic village in southwestern France, known for its picturesque medieval architecture and rural charm within the Quercy region.
-
E.
Montpellier Quarter
Montpellier Quarter is an elegant historic shopping and dining district in Harrogate, England, known for its boutiques, galleries, and cafés.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a7500481908b69f74e479f88c8 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.