Triple
T24573295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RB25 |
E608020
|
entity |
| Predicate | locatedInTransportRegion |
P35909
|
FINISHED |
| Object | VBB area |
—
|
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: VBB area | Statement: [RB25, locatedInTransportRegion, VBB area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTransportRegion Context triple: [RB25, locatedInTransportRegion, VBB area]
-
A.
locatedInTransportArea
Indicates that an entity is situated within a designated transport-related area or zone.
-
B.
locatedInTransportCorridor
Indicates that an entity is situated within a designated transport corridor used for the movement of people or goods.
-
C.
transportationRegion
chosen
Indicates that one entity serves as, or is associated with, a geographic region relevant to the transportation activities or coverage of another entity.
-
D.
locatedInTraditionalRegion
Indicates that an entity is situated within a specific traditional or historically recognized region.
-
E.
locatedInStateOrRegion
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9269360819090c44f4483c3533c |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.