Triple
T4938405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Cleveland |
E110867
|
entity |
| Predicate | summitCraterFilledWith |
P60500
|
FINISHED |
| Object | lava dome (intermittent) |
—
|
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: lava dome (intermittent) | Statement: [Mount Cleveland, summitCraterFilledWith, lava dome (intermittent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitCraterFilledWith Context triple: [Mount Cleveland, summitCraterFilledWith, lava dome (intermittent)]
-
A.
summitCrater
Indicates the relationship where a crater is located at or forms the summit of a volcanic or mountainous feature.
-
B.
summitCraterDiameter
Indicates the diameter of the crater located at the summit of a volcanic or mountainous feature.
-
C.
hasSummitCaldera
Indicates that an entity (typically a volcano) possesses a caldera located at or near its summit.
-
D.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
E.
summitCraterOrientation
Indicates the directional alignment or facing of a volcano’s summit crater relative to a reference frame (e.g., cardinal directions or slope aspect).
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.