Triple
T7459188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chajnantor Plateau |
E176200
|
entity |
| Predicate | approximateDistanceToSanPedroDeAtacama |
P59341
|
FINISHED |
| Object | about 50 kilometers east |
—
|
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 50 kilometers east | Statement: [Chajnantor Plateau, approximateDistanceToSanPedroDeAtacama, about 50 kilometers east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceToSanPedroDeAtacama Context triple: [Chajnantor Plateau, approximateDistanceToSanPedroDeAtacama, about 50 kilometers east]
-
A.
distanceFromSanPedroDeAtacama
chosen
Indicates the measured distance between a given place or object and the location of San Pedro de Atacama.
-
B.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
-
C.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
D.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d332d08190a05c92a00ed09ac6 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:37 p.m.