Triple
T27896542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Negra Volcano |
E705507
|
entity |
| Predicate | hasCalderaFloor |
P5519
|
FINISHED |
| Object | lava flows |
—
|
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 flows | Statement: [Sierra Negra Volcano, hasCalderaFloor, lava flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCalderaFloor Context triple: [Sierra Negra Volcano, hasCalderaFloor, lava flows]
-
A.
isCalderaOf
Indicates that one geological depression or basin is the caldera formed by the volcanic activity of another volcanic structure or system.
-
B.
isCaldera
Indicates that something is a volcanic caldera, i.e., a large basin-like depression formed by the collapse of land following a volcanic eruption.
-
C.
containsCaldera
Indicates that one geological feature, typically a volcano or volcanic region, has a caldera located within its bounds.
-
D.
hasFloor
chosen
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
E.
hasCalderaType
Indicates that a caldera is classified as being of a particular type based on its formation or characteristics.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 27, 2026, 6:39 p.m.