Triple
T2961649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soap Lake, Washington |
E80062
|
entity |
| Predicate | hasMineral |
P45236
|
FINISHED |
| Object | sodium bicarbonate in lake water |
—
|
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: sodium bicarbonate in lake water | Statement: [Soap Lake, Washington, hasMineral, sodium bicarbonate in lake water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMineral Context triple: [Soap Lake, Washington, hasMineral, sodium bicarbonate in lake water]
-
A.
hasImportantMineral
Indicates that an entity contains or is associated with a mineral considered significant or valuable in a given context.
-
B.
mineralizationType
Indicates the specific kind or style of mineral deposition or ore-forming process characterizing a mineralized occurrence or deposit.
-
C.
mineralGroup
Indicates that one entity is classified as a member or subtype of a particular mineral group defined by shared mineralogical characteristics.
-
D.
hasRockType
Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
-
E.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.