Triple
T16409550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaucresson |
E398523
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object | D907 road |
E1111882
|
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: D907 road | Statement: [Vaucresson, roadAccess, D907 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D907 road Context triple: [Vaucresson, roadAccess, D907 road]
-
A.
D907 road
chosen
The D907 road is a departmental route in southeastern France that serves as a key connector through the Haute-Savoie region, linking towns such as Taninges in the French Alps.
-
B.
D902 road
The D902 road is a departmental highway in the Manche department of Normandy, France, serving as a regional route that connects the town of Valognes with other nearby localities.
-
C.
D902 road
The D902 road is a scenic high-altitude route in the French Alps, known for connecting major mountain passes and offering dramatic alpine landscapes.
-
D.
D970 road
The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
-
E.
D973 road
The D973 road is a departmental route in the Côte-d'Or department of eastern France that serves local towns such as Nolay and connects them to the regional road network.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32871bce08190addd637413473c87 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457d9f4081908a5f28eeafc44695 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.