Triple
T12787806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givors |
E305676
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | A7 motorway |
E368581
|
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: A7 motorway | Statement: [Givors, roadConnection, A7 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A7 motorway Context triple: [Givors, roadConnection, A7 motorway]
-
A.
A7 motorway
chosen
The A7 motorway is a major French highway that runs through the Rhône Valley, linking Lyon to Marseille and serving as a key north–south route in southeastern France.
-
B.
A7 motorway
The A7 motorway is one of Germany's major north–south autobahns, running the length of the country and passing near cities such as Göttingen.
-
C.
A7 motorway
The A7 motorway is a major Dutch highway that runs across the northern Netherlands, connecting cities such as Groningen and linking to the German border.
-
D.
A27 motorway
The A27 motorway is a major north–south highway in the Netherlands that connects several key cities and regions in the central part of the country.
-
E.
A-7 motorway
The A-7 motorway is a major Spanish coastal highway running along much of the Mediterranean shoreline, connecting key cities and regions in southern and eastern Spain.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014819dfbc8190b39a10647f9ba64c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 9, 2026, 5:29 p.m.