Triple
T33859127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whakaari |
E867872
|
entity |
| Predicate | lastMajorEruptionInjuries |
P178117
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [Whakaari, lastMajorEruptionInjuries, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastMajorEruptionInjuries Context triple: [Whakaari, lastMajorEruptionInjuries, dozens]
-
A.
lastEruptionImpact
Indicates the effect or consequences resulting from the most recent volcanic eruption.
-
B.
lastMajorEruptionFatalities
Indicates the number of people who died as a result of the most recent major eruption associated with the given entity.
-
C.
lastMajorEruptionIncludes
Indicates that the specified event or time period is part of, or falls within, the volcano’s most recent major eruption.
-
D.
lastNotableEruptions
Indicates the most recent significant eruption events associated with a volcano or volcanic feature.
-
E.
lastEruption
Indicates the time or event corresponding to the most recent eruption associated with a given entity.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:47 a.m.