Triple
T18918150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route Napoléon |
E462773
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Gap–Grenoble |
—
|
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: Gap–Grenoble | Statement: [Route Napoléon, hasSection, Gap–Grenoble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gap–Grenoble Context triple: [Route Napoléon, hasSection, Gap–Grenoble]
-
A.
Grenoble
chosen
Grenoble is a major city in southeastern France, known for its Alpine setting, universities, and research centers.
-
B.
Grenoble Presqu’île
Grenoble Presqu’île is a major French innovation district in Grenoble that concentrates leading research institutions, high-tech companies, and universities in a compact urban science and technology hub.
-
C.
Grenoblois
Grenoblois is the French demonym for inhabitants of the city of Grenoble in southeastern France.
-
D.
Saint-Flour
Saint-Flour is a historic hilltop town in the Cantal department of south-central France, known for its medieval architecture and dramatic setting in the Auvergne region.
-
E.
Aix-les-Bains
Aix-les-Bains is a French spa and resort town in the Savoie department, renowned for its thermal baths and lakeside setting on the edge of the Alps.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62884988190a362ada1a0a47134 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:59 a.m.