Triple
T6483409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nîmes |
E146449
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Tour Magne |
E405634
|
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: Tour Magne | Statement: [Nîmes, hasLandmark, Tour Magne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Magne Context triple: [Nîmes, hasLandmark, Tour Magne]
-
A.
Tour Magne
chosen
Tour Magne is an ancient Roman watchtower in Nîmes, France, notable as one of the city’s most prominent historical monuments.
-
B.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
C.
Tour Ronde
Tour Ronde is a prominent granite peak in the Mont Blanc massif of the Alps, popular with climbers for its accessible mixed routes and panoramic views.
-
D.
Tour Totem
Tour Totem is a modern high-rise residential and office building located in Paris’s Grenelle district near the Seine.
-
E.
Tour Tanguy
Tour Tanguy is a medieval tower in Brest, France, now serving as a local history museum showcasing the city’s past.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653afb1148190a8683f24a553f64d |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.