Triple
T37488202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mýrdalsjökull |
E931590
|
entity |
| Predicate | coveredVolcano |
P16602
|
FINISHED |
| Object | Katla caldera |
—
|
NE NERFINISHED |
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: Katla caldera | Statement: [Mýrdalsjökull, coveredVolcano, Katla caldera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coveredVolcano Context triple: [Mýrdalsjökull, coveredVolcano, Katla caldera]
-
A.
discoveredAsVolcano
Indicates that an entity was identified, recognized, or confirmed to be a volcano.
-
B.
associatedVolcano
chosen
Indicates that there is a specific volcano linked or connected to the referenced entity, such as by location, impact, or relevance.
-
C.
volcanoRank
Indicates the relative position or classification of a volcano within an ordered ranking system, such as by size, activity, or hazard level.
-
D.
numberOfVolcanoes
Indicates the count of volcanoes associated with a given entity or within a specified context.
-
E.
volcanoDistribution
Indicates how volcanoes are spatially arranged or spread across a given area or region.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:17 p.m.