Triple
T38318003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyar river basin |
E1033878
|
entity |
| Predicate | flowsThroughMajorCity |
P42402
|
FINISHED |
| Object | Girona |
—
|
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: Girona | Statement: [Onyar river basin, flowsThroughMajorCity, Girona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughMajorCity Context triple: [Onyar river basin, flowsThroughMajorCity, Girona]
-
A.
hasMajorCityOnRoute
Indicates that a major city lies along, or is directly served by, a specified route or path between locations.
-
B.
connectsMajorCity
Indicates that one entity serves as a link or route providing direct connection to a major city.
-
C.
flowsThroughTown
chosen
Indicates that something, typically a river or stream, passes through the area or boundaries of a town.
-
D.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
E.
capitalCityIsMajorTransportHub
Indicates that the capital city functions as a primary hub for transportation networks, with significant connectivity and traffic across major transport modes.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.