Triple
T2234964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligeia Mare |
E49257
|
entity |
| Predicate | phaseOfMethane |
P37259
|
FINISHED |
| Object | liquid methane at Titan surface conditions |
—
|
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 methane at Titan surface conditions | Statement: [Ligeia Mare, phaseOfMethane, liquid methane at Titan surface conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phaseOfMethane Context triple: [Ligeia Mare, phaseOfMethane, liquid methane at Titan surface conditions]
-
A.
hasAtmosphericFeature
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
B.
hasColdPhase
Indicates that an entity undergoes or includes a period or stage characterized by low temperature or cold conditions.
-
C.
phaseOfSeason
Indicates that one temporal segment represents a specific phase or part within a larger season.
-
D.
hasWaterIce
Indicates that one entity contains, possesses, or is characterized by the presence of water in solid (ice) form.
-
E.
hasMainAtmosphericComponent
Indicates that one entity has another entity as the primary constituent of its atmosphere.
- 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_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. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:47 p.m.