Triple
T2482378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pedro volcano |
E55846
|
entity |
| Predicate | lastKnownActivity |
P40296
|
FINISHED |
| Object | Holocene |
—
|
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: Holocene | Statement: [San Pedro volcano, lastKnownActivity, Holocene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownActivity Context triple: [San Pedro volcano, lastKnownActivity, Holocene]
-
A.
lastSession
Indicates that one session is the final or most recent session associated with a given entity or sequence of sessions.
-
B.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
C.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
D.
stateOfActivity
Indicates the current condition, phase, or status that an activity is in at a given time.
-
E.
lastWork
Indicates that one entity is the most recent work (e.g., creation, project, or publication) associated with another entity.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.