Triple
T5585417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirque |
E146742
|
entity |
| Predicate | distanceToSantiago |
P19519
|
FINISHED |
| Object | approximately 20–30 km 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: approximately 20–30 km southeast | Statement: [Pirque, distanceToSantiago, approximately 20–30 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSantiago Context triple: [Pirque, distanceToSantiago, approximately 20–30 km southeast]
-
A.
distanceToSantiago_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
B.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
C.
distanceFromLima
Indicates the measured distance between a given place or object and the city of Lima.
-
D.
distanceFromSanPedroDeAtacama
Indicates the measured distance between a given place or object and the location of San Pedro de Atacama.
-
E.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.