Triple
T4939701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deception Island |
E110896
|
entity |
| Predicate | hasCalderaType |
P60148
|
FINISHED |
| Object | flooded caldera |
—
|
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: flooded caldera | Statement: [Deception Island, hasCalderaType, flooded caldera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCalderaType Context triple: [Deception Island, hasCalderaType, flooded caldera]
-
A.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
hasCriterionType
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
C.
hasRecordType
Indicates that an entity is associated with or classified under a specific type or category of record.
-
D.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
E.
hasModelType
Indicates that an entity is associated with or classified under a specific model type.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708a3dcc81908b6628864fe0db0a |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff85b50819081d78087caa6b473 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.