Triple
T25994101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysithea |
E646437
|
entity |
| Predicate | surfaceFeatureResolution |
P60648
|
FINISHED |
| Object | unresolved in most images |
—
|
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: unresolved in most images | Statement: [Lysithea, surfaceFeatureResolution, unresolved in most images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceFeatureResolution Context triple: [Lysithea, surfaceFeatureResolution, unresolved in most images]
-
A.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
B.
surfaceQuality
chosen
Indicates the condition or characteristics of an entity’s outer surface, such as its smoothness, roughness, or finish.
-
C.
surfaceFeatureKnowledge
Indicates that an entity possesses information or awareness about the characteristics or properties of a surface.
-
D.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
-
E.
surfaceDescription
Indicates that one entity provides a textual or qualitative description of the surface characteristics or appearance of 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 8:57 a.m.