Triple
T13297847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villarrica |
E316731
|
entity |
| Predicate | distanceToTemuco |
P109393
|
FINISHED |
| Object | approximately 80 kilometres |
—
|
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 80 kilometres | Statement: [Villarrica, distanceToTemuco, approximately 80 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTemuco Context triple: [Villarrica, distanceToTemuco, approximately 80 kilometres]
-
A.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
B.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
C.
distanceToIquique_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Iquique.
-
D.
distanceFromSanPedroDeAtacama
Indicates the measured distance between a given place or object and the location of San Pedro de Atacama.
-
E.
distanceFromBariloche
Indicates the measured distance between a given entity or location and Bariloche.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:28 p.m.