Triple
T37809080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aire des Volcans d’Auvergne |
E942585
|
entity |
| Predicate | roadNumberServed |
P160491
|
FINISHED |
| Object | A89 |
—
|
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: A89 | Statement: [Aire des Volcans d’Auvergne, roadNumberServed, A89]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberServed Context triple: [Aire des Volcans d’Auvergne, roadNumberServed, A89]
-
A.
roadServed
Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
-
B.
roadNumberIncludes
chosen
Indicates that a road’s identifier or designation contains the specified number or numeric sequence.
-
C.
roadNetworkServedBy
Indicates that a particular road network is provided, maintained, or operated by a specified service, organization, or infrastructure system.
-
D.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
E.
stateHighwayServedBy
Indicates that a particular state highway is provided service or coverage by a specified transportation route, agency, or facility.
- F. None of above.
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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.