Triple
T2234974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligeia Mare |
E49257
|
entity |
| Predicate | chemicalEnvironment |
P2900
|
FINISHED |
| Object | reducing |
—
|
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: reducing | Statement: [Ligeia Mare, chemicalEnvironment, reducing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chemicalEnvironment Context triple: [Ligeia Mare, chemicalEnvironment, reducing]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
-
C.
environmentalCondition
chosen
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
D.
chemicallyRelatedTo
Indicates a relationship where two entities are connected through a chemical association, such as sharing structural features, participating in related reactions, or being derivable from one another chemically.
-
E.
primaryChemicalComponent
Indicates that one entity is the main or predominant chemical substance composing 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.