Triple
T32400922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pica |
E827947
|
entity |
| Predicate | distanceFromIquique |
P77026
|
FINISHED |
| Object | approximately 115 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 115 km southeast | Statement: [Pica, distanceFromIquique, approximately 115 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromIquique Context triple: [Pica, distanceFromIquique, approximately 115 km southeast]
-
A.
distanceToIquique_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and the city of Iquique.
-
B.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
C.
distanceFromSanPedroDeAtacama
Indicates the measured distance between a given place or object and the location of San Pedro de Atacama.
-
D.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
E.
distanceToTalca_km
Indicates the physical distance, measured in kilometers, between a given entity and the city of Talca.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a036c1282748190a820562bcd9aa5d9 |
completed | May 12, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_6a036bb5ca0c8190bd50abc197960b41 |
completed | May 12, 2026, 6:04 p.m. |
Created at: May 1, 2026, 12:52 a.m.