Triple
T29880301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente Ramón Matías Mella |
E758857
|
entity |
| Predicate | hasRiverCrossingFunction |
P33399
|
FINISHED |
| Object | Ozama River |
—
|
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: Ozama River | Statement: [Puente Ramón Matías Mella, hasRiverCrossingFunction, Ozama River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverCrossingFunction Context triple: [Puente Ramón Matías Mella, hasRiverCrossingFunction, Ozama River]
-
A.
hasRiverCrossingType
Indicates the type or nature of a river crossing associated with an entity (e.g., bridge, ford, ferry).
-
B.
riverCrossingFunction
Indicates a functional relationship where something or someone is transported or moved from one side of a river to the other.
-
C.
riverCrossingConnection
chosen
Indicates a connection between two locations that are linked by a route or structure specifically used to cross a river.
-
D.
hasRiverCrossingNearby
Indicates that there is a river crossing located in close proximity to the referenced entity or location.
-
E.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 29, 2026, 5:57 p.m.