Triple
T20941530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAN public transport network |
E515732
|
entity |
| Predicate | hasBusDepot |
P14646
|
FINISHED |
| Object | Nantes bus depot |
—
|
LITERAL 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: Nantes bus depot | Statement: [TAN public transport network, hasBusDepot, Nantes bus depot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusDepot Context triple: [TAN public transport network, hasBusDepot, Nantes bus depot]
-
A.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
B.
depot
chosen
Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
-
C.
hasBusStandType
Indicates the specific category or type of bus stand associated with a given bus stand entity.
-
D.
hasBusGarageNearby
Indicates that a bus garage is located in close proximity to the referenced entity.
-
E.
hasBusPlatforms
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f955f0148190ae42278ad5c0f363 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.