Triple
T16428791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiraike Jigoku |
E399015
|
entity |
| Predicate | waterAppearanceCause |
P60967
|
FINISHED |
| Object | dissolved minerals |
—
|
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: dissolved minerals | Statement: [Shiraike Jigoku, waterAppearanceCause, dissolved minerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterAppearanceCause Context triple: [Shiraike Jigoku, waterAppearanceCause, dissolved minerals]
-
A.
waterAppearance
chosen
Indicates how the water involved in the situation looks or visually appears (e.g., its color, clarity, or surface condition).
-
B.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
C.
waterOrigin
Indicates the source or starting location from which the water originates or is supplied.
-
D.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
E.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fd49708190abb5065fa430eff1 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.