Triple
T6042872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albedo 0.39 (track) |
E134590
|
entity |
| Predicate | isConceptual |
P68355
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Albedo 0.39 (track), isConceptual, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConceptual Context triple: [Albedo 0.39 (track), isConceptual, yes]
-
A.
hasConceptualOrigin
Indicates that something conceptually originates from, is derived from, or is fundamentally based on another thing.
-
B.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
hasConceptualParallel
Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
-
D.
hasConceptualIssue
Indicates that one entity has a problem, flaw, or inconsistency in its underlying idea, theory, or conceptual basis in relation to another entity.
-
E.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e108fc81908775d176ff960fad |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.