Triple
T31833770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baños de Agua Santa |
E812609
|
entity |
| Predicate | distanceToAmbato |
P203871
|
FINISHED |
| Object | approximately 40 km |
—
|
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: approximately 40 km | Statement: [Baños de Agua Santa, distanceToAmbato, approximately 40 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAmbato Context triple: [Baños de Agua Santa, distanceToAmbato, approximately 40 km]
-
A.
distanceFromQuito
Indicates the spatial distance between a given entity or location and the city of Quito.
-
B.
distanceToGuayaquil_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Guayaquil.
-
C.
distanceFromCuenca
Indicates the measured spatial distance between a given entity or location and the city of Cuenca.
-
D.
distanceToCochabamba
Indicates the spatial distance between a given entity and the location of Cochabamba.
-
E.
distanceToSantaMarta
Indicates the measured spatial distance between a given entity’s location and the location of Santa Marta.
- F. None of above. chosen
Provenance (4 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a022c5269888190944314074aedfe73 |
completed | May 11, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_6a02286020308190b238183f7ba2065f |
completed | May 11, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a022c51bd5c81909e9bf265bf39cd24 |
completed | May 11, 2026, 7:21 p.m. |
Created at: April 30, 2026, 11:48 p.m.