Triple
T12394155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coroico |
E296072
|
entity |
| Predicate | transportFromLaPaz |
P66887
|
FINISHED |
| Object | minibuses |
—
|
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: minibuses | Statement: [Coroico, transportFromLaPaz, minibuses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportFromLaPaz Context triple: [Coroico, transportFromLaPaz, minibuses]
-
A.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
B.
transportFrom
chosen
Indicates that something or someone is moved or carried away starting from a specified origin location.
-
C.
directionFromCusco
Indicates the cardinal or relative direction in which one entity is located from the reference point of Cusco.
-
D.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
E.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd228488190b216abd1c341563c |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.