Triple
T15716550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler-186f |
E380974
|
entity |
| Predicate | potentialForLiquidWater |
P119560
|
FINISHED |
| Object | possible under suitable atmospheric 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: possible under suitable atmospheric conditions | Statement: [Kepler-186f, potentialForLiquidWater, possible under suitable atmospheric conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialForLiquidWater Context triple: [Kepler-186f, potentialForLiquidWater, possible under suitable atmospheric conditions]
-
A.
hasPotentialForLiquidWater
chosen
Indicates that one entity possesses conditions or characteristics that could allow liquid water to exist on or within it.
-
B.
waterPresence
Indicates the existence or amount of water present in or around a specified entity or location.
-
C.
hasWaterIce
Indicates that one entity contains, possesses, or is characterized by the presence of water in solid (ice) form.
-
D.
waterExposure
Indicates that one entity is subjected to contact with water from another source or environment.
-
E.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.