Triple
T14758106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcán de Fuego |
E346783
|
entity |
| Predicate | slopeFeatures |
P77075
|
FINISHED |
| Object | lava flows on flanks |
—
|
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: lava flows on flanks | Statement: [Volcán de Fuego, slopeFeatures, lava flows on flanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeFeatures Context triple: [Volcán de Fuego, slopeFeatures, lava flows on flanks]
-
A.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
slopeUse
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
C.
hasSlopeFeature
chosen
Indicates that an entity possesses or is characterized by a particular slope-related property or feature.
-
D.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
E.
usesWeightedAverageOfSlopes
Indicates that something is determined or calculated by taking a weighted average of multiple slope values.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.