Triple
T35040681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kow-Ata cave |
E1011060
|
entity |
| Predicate | waterComposition |
P26020
|
FINISHED |
| Object | sulfur-rich |
—
|
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: sulfur-rich | Statement: [Kow-Ata cave, waterComposition, sulfur-rich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterComposition Context triple: [Kow-Ata cave, waterComposition, sulfur-rich]
-
A.
waterContains
chosen
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
-
B.
waterRepresentation
Indicates how water is depicted, modeled, or symbolized in relation to an entity or context.
-
C.
waterIsKnownFor
Indicates that something is recognized or notable for its association with water, such as its abundance, use, or characteristic relation to water.
-
D.
hasHydrosphere
Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
-
E.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:01 p.m.