Triple
T17253813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Crater |
E418827
|
entity |
| Predicate | lakeWaterOrigin |
P120406
|
FINISHED |
| Object | rainwater mixed with volcanic fluids |
—
|
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: rainwater mixed with volcanic fluids | Statement: [Main Crater, lakeWaterOrigin, rainwater mixed with volcanic fluids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeWaterOrigin Context triple: [Main Crater, lakeWaterOrigin, rainwater mixed with volcanic fluids]
-
A.
waterOrigin
Indicates the source or starting location from which the water originates or is supplied.
-
B.
lakeOrigin
chosen
Indicates that a lake originates from, is formed by, or has its source in a specified geographic or hydrological feature.
-
C.
sourceOfWatercourse
Indicates that one entity is the origin or starting point from which a watercourse (such as a river or stream) begins or flows.
-
D.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
E.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6b2b1c8190b446ce648ecaad80 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.