Triple
T18105098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 lower Puna eruption of Kīlauea |
E433328
|
entity |
| Predicate | areaCoveredByLava |
P130458
|
FINISHED |
| Object | about 35.5 square kilometers |
—
|
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: about 35.5 square kilometers | Statement: [2018 lower Puna eruption of Kīlauea, areaCoveredByLava, about 35.5 square kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaCoveredByLava Context triple: [2018 lower Puna eruption of Kīlauea, areaCoveredByLava, about 35.5 square kilometers]
-
A.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
-
B.
lavaTemperature
Indicates the temperature value associated with lava in a given context or state.
-
C.
lavaColor
Indicates the color attribute associated with a given lava substance or flow.
-
D.
hasLavaDomes
Indicates that the subject volcano possesses one or more lava domes as part of its structure or eruptive features.
-
E.
typicalLavaType
Indicates the usual or characteristic type of lava associated with a given volcanic feature, eruption, or context.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb9981c8190b33697fbcaa901b3 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.