Triple
T10249569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A5 motorway (France) |
E240303
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Sens |
E225980
|
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: Sens | Statement: [A5 motorway (France), passesNear, Sens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sens Context triple: [A5 motorway (France), passesNear, Sens]
-
A.
Sens
chosen
Sens is a historic commune in north-central France known for its impressive Gothic cathedral and role as a regional administrative and commercial center.
-
B.
Senne
The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
-
C.
Sinn
Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
-
D.
Sensation
Sensation was a highly controversial late-1990s art exhibition showcasing works by the Young British Artists, including Damien Hirst and Tracey Emin, that sparked intense public and media debate over contemporary art and censorship.
-
E.
Savines
Savines was a former village in southeastern France that was submerged during the creation of the Serre-Ponçon reservoir and later rebuilt nearby as Savines-le-Lac.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7b66c6881908b432fbdd5ecf11e |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:28 a.m.