Triple
T37867631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Darro |
E944517
|
entity |
| Predicate | cruzadoPor |
P416
|
FINISHED |
| Object | puentes históricos de la Carrera del Darro |
—
|
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: puentes históricos de la Carrera del Darro | Statement: [Río Darro, cruzadoPor, puentes históricos de la Carrera del Darro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cruzadoPor Context triple: [Río Darro, cruzadoPor, puentes históricos de la Carrera del Darro]
-
A.
crossedBy
chosen
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
B.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
C.
crossedFrom
Indicates that an entity moved across a boundary or dividing line starting from a specified origin location or side.
-
D.
crossedWith
Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
-
E.
attemptedCrossingBy
Indicates that an entity made an effort to cross or traverse another entity, regardless of whether the crossing was successful.
- 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_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.