Triple
T13835963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Roque do Pico |
E332526
|
entity |
| Predicate | hasVolcanicLandscapeNearby |
P7372
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [São Roque do Pico, hasVolcanicLandscapeNearby, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolcanicLandscapeNearby Context triple: [São Roque do Pico, hasVolcanicLandscapeNearby, true]
-
A.
nearVolcano
Indicates that one entity is located in close proximity to a volcano.
-
B.
volcanoTypeNearby
Indicates that one entity is located near another entity that is classified as a particular type of volcano.
-
C.
isVolcanicNeighborOf
Indicates that one geographic feature is located close enough to another volcanic feature that they are considered neighboring volcano-related entities.
-
D.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
E.
containsVolcanicRegion
chosen
Indicates that one entity geographically includes or encompasses an area characterized by volcanic features or activity.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029b352081909605baaedc336213 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.