Triple
T37867603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Darro |
E944517
|
entity |
| Predicate | desembocaEnLocalidad |
P102920
|
FINISHED |
| Object | Granada |
—
|
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: Granada | Statement: [Río Darro, desembocaEnLocalidad, Granada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: desembocaEnLocalidad Context triple: [Río Darro, desembocaEnLocalidad, Granada]
-
A.
endsInCity
chosen
Indicates that an entity (such as a route, trip, or movement) terminates or concludes within a specified city.
-
B.
connectsToCoastAt
Indicates that one entity has a direct physical or geographical connection or access to a coastline at the location of another entity.
-
C.
inComarca
Indicates that one entity is located within or belongs to the jurisdiction or territory of a specific comarca (administrative district or region).
-
D.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
E.
hasSouthernTerminus
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.