Triple
T13389480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaiian |
E319537
|
entity |
| Predicate | eruptionCharacter |
P109726
|
FINISHED |
| Object | gentle |
—
|
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: gentle | Statement: [Hawaiian, eruptionCharacter, gentle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eruptionCharacter Context triple: [Hawaiian, eruptionCharacter, gentle]
-
A.
lastEruptionCharacter
Indicates the defining nature or distinguishing features of the most recent eruption event associated with an entity.
-
B.
eruptionName
Indicates the specific name assigned to a volcanic eruption event associated with an entity.
-
C.
eruptionPhenomena
Indicates the specific observable events or manifestations that occur during a volcanic eruption.
-
D.
eruptionSeriesOf
Indicates a relationship where a specific volcanic eruption is a member event within a broader series or sequence of related eruptions.
-
E.
eruptionEffect
Indicates the impact or consequences that an eruption has on its surrounding environment, systems, or entities.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:34 p.m.