Triple
T19639830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toconao |
E471500
|
entity |
| Predicate | distanceToSanPedroDeAtacama |
P59341
|
FINISHED |
| Object | about 38 kilometres southeast |
—
|
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: about 38 kilometres southeast | Statement: [Toconao, distanceToSanPedroDeAtacama, about 38 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSanPedroDeAtacama Context triple: [Toconao, distanceToSanPedroDeAtacama, about 38 kilometres southeast]
-
A.
distanceFromSanPedroDeAtacama
chosen
Indicates the measured distance between a given place or object and the location of San Pedro de Atacama.
-
B.
distanceToIquique_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Iquique.
-
C.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
D.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
-
E.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641215df48190926b38e6502bb83e |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.