Triple
T1488044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tethys |
E29512
|
entity |
| Predicate | surfaceColor |
P28547
|
FINISHED |
| Object | very bright |
—
|
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: very bright | Statement: [Tethys, surfaceColor, very bright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceColor Context triple: [Tethys, surfaceColor, very bright]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
C.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
D.
surfaceState
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
-
E.
secondarySurface
Indicates a relationship where one surface functions as a secondary or subordinate surface in relation to a primary or main surface.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a44efc819084254614d8ea4669 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52c703c8190a56389b09d97659f |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8:12 p.m.