Triple
T5725878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa |
E126262
|
entity |
| Predicate | oceanComposition |
P10548
|
FINISHED |
| Object | liquid 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: liquid water | Statement: [Europa, oceanComposition, liquid water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanComposition Context triple: [Europa, oceanComposition, liquid water]
-
A.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
B.
oceanChemistry
chosen
Indicates the chemical composition and properties of seawater, including the distribution and interactions of its dissolved substances.
-
C.
oceanographicType
Indicates the specific oceanographic classification or category associated with an entity, such as a type of ocean feature, condition, or measurement.
-
D.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
E.
oceanInfluence
Indicates how the presence, properties, or behavior of an ocean affects another entity, condition, or process.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.