Triple
T10734777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesper |
E253164
|
entity |
| Predicate | actualCategory |
P29075
|
FINISHED |
| Object | planet |
—
|
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: planet | Statement: [Vesper, actualCategory, planet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actualCategory Context triple: [Vesper, actualCategory, planet]
-
A.
canonicalCategory
chosen
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
B.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
E.
formerCategory
Indicates that an entity previously belonged to a given category but no longer does.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.