Triple
T7272900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau Ceti f |
E161147
|
entity |
| Predicate | potentialSurfaceConditions |
P76147
|
FINISHED |
| Object | could allow liquid water with sufficient greenhouse warming |
—
|
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: could allow liquid water with sufficient greenhouse warming | Statement: [Tau Ceti f, potentialSurfaceConditions, could allow liquid water with sufficient greenhouse warming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialSurfaceConditions Context triple: [Tau Ceti f, potentialSurfaceConditions, could allow liquid water with sufficient greenhouse warming]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
allWeatherSurface
Indicates that a surface is designed or suitable for use under all weather conditions without significant loss of functionality.
-
C.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
D.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
-
E.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 2:58 p.m.