Triple
T5809721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichincha volcano |
E128837
|
entity |
| Predicate | proximityToPopulationCenter |
P61362
|
FINISHED |
| Object | very close to Quito |
—
|
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: very close to Quito | Statement: [Pichincha volcano, proximityToPopulationCenter, very close to Quito]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proximityToPopulationCenter Context triple: [Pichincha volcano, proximityToPopulationCenter, very close to Quito]
-
A.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
B.
nearbyTo
chosen
Indicates that one entity is located close in distance or position to another entity.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
E.
closerTo
Indicates that one entity is at a smaller distance to a reference entity than another entity is.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.