Triple
T6219030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauaʻi shield volcano |
E139063
|
entity |
| Predicate | erodedTo |
P38602
|
FINISHED |
| Object | deep central caldera-like depression |
—
|
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: deep central caldera-like depression | Statement: [Kauaʻi shield volcano, erodedTo, deep central caldera-like depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erodedTo Context triple: [Kauaʻi shield volcano, erodedTo, deep central caldera-like depression]
-
A.
eroded
Indicates that a force or process has gradually worn away, diminished, or degraded something over time.
-
B.
hasErosionFeature
chosen
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
C.
undermined
Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
-
D.
dissipatedIn
Indicates that something (such as energy, heat, or a substance) is lost, spread out, or converted within a particular medium, location, or system.
-
E.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
- F. None of above.
Provenance (3 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.