Triple
T10294511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loja |
E241447
|
entity |
| Predicate | distanceFromCuenca |
P92955
|
FINISHED |
| Object | approximately 200 kilometers south of Cuenca |
—
|
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 200 kilometers south of Cuenca | Statement: [Loja, distanceFromCuenca, approximately 200 kilometers south of Cuenca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCuenca Context triple: [Loja, distanceFromCuenca, approximately 200 kilometers south of Cuenca]
-
A.
distanceFromCusco
Indicates the measured spatial distance between a given location or entity and the city of Cusco.
-
B.
distanceFromArequipa
Indicates the spatial distance between a given location and the city of Arequipa.
-
C.
distanceFromMedellín
Indicates the measured spatial distance between an entity and the city of Medellín.
-
D.
distanceFromBogotá
Indicates the spatial distance separating a given entity or location from the city of Bogotá.
-
E.
distanceToKunming
Indicates the spatial distance between a given location or entity and the city of Kunming.
- F. None of above. chosen
Provenance (4 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d5e0f88190be3e23ba2511a1e9 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:42 a.m.