Triple
T3095582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceboruco |
E64587
|
entity |
| Predicate | hasHistoricalEruptions |
P2857
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ceboruco, hasHistoricalEruptions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalEruptions Context triple: [Ceboruco, hasHistoricalEruptions, yes]
-
A.
hasLastEruptionCentury
Indicates the century during which the most recent eruption of a volcano (or eruptive feature) occurred.
-
B.
hasVolcanicActivity
chosen
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
C.
previousNotableEruption
Indicates that one volcanic eruption directly precedes another notable eruption in time.
-
D.
lastEruption
Indicates the time or event corresponding to the most recent eruption associated with a given entity.
-
E.
notableEruptionAge
Indicates the age or time period at which a notable volcanic eruption associated with an entity occurred.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23b04188190919a69987d2c180f |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.