Triple
T35506524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orcus–Vanth system |
E1026163
|
entity |
| Predicate | hasSpectralEvidenceFor |
P3650
|
FINISHED |
| Object | water ice on primary |
—
|
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: water ice on primary | Statement: [Orcus–Vanth system, hasSpectralEvidenceFor, water ice on primary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectralEvidenceFor Context triple: [Orcus–Vanth system, hasSpectralEvidenceFor, water ice on primary]
-
A.
hasSpectralObservation
Indicates that a spectral measurement or observation has been made of an entity, linking it to the corresponding spectral data or record.
-
B.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
presentsEvidenceTo
Indicates that one entity formally provides or shows evidence to another entity, typically to support a claim, argument, or decision.
-
D.
hasSpectralLines
Indicates that one entity exhibits or is characterized by specific spectral lines associated with another entity.
-
E.
hasSpectralVariability
Indicates that an entity exhibits changes or fluctuations in its spectral properties over time or under different conditions.
- 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: May 3, 2026, 4:04 p.m.