Triple
T35873926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilauea Iki 1959 eruption |
E1037305
|
entity |
| Predicate | currentStatusOfLavaLake |
P200230
|
FINISHED |
| Object | solidified |
—
|
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: solidified | Statement: [Kilauea Iki 1959 eruption, currentStatusOfLavaLake, solidified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentStatusOfLavaLake Context triple: [Kilauea Iki 1959 eruption, currentStatusOfLavaLake, solidified]
-
A.
hasLavaLakeDepth
Indicates the depth measurement of a lava lake associated with a given entity.
-
B.
hasLavaLake
Indicates that one entity contains or features a lake of molten lava associated with another entity.
-
C.
lavaLakePersistence
Indicates that a lava lake remains present and stable in a given location over a sustained period of time.
-
D.
LakeTeganoStatus
Indicates the status or condition currently associated with Lake Tegano.
-
E.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69ff7bbfa4b08190b11e84861706b349 |
completed | May 9, 2026, 6:23 p.m. |
Created at: May 3, 2026, 4:06 p.m.