Triple
T11205211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aluta |
E265142
|
entity |
| Predicate | variantName |
P4680
|
FINISHED |
| Object | Alutus |
—
|
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: Alutus | Statement: [Aluta, variantName, Alutus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variantName Context triple: [Aluta, variantName, Alutus]
-
A.
brandNameVariant
Indicates that one brand name is an alternative or variant form of another brand name, such as a spelling, regional, or stylistic variation.
-
B.
variant
chosen
Indicates that one entity is an alternative form, version, or variation of another entity.
-
C.
vacuumVariantName
Indicates that one entity is the specific variant name or labeled version of a vacuum-related item or model associated with another entity.
-
D.
movieVariantName
Indicates that one movie is known by an alternative or variant name (such as a translated, regional, or re-release title).
-
E.
symbolVariant
Indicates that one symbol is an alternative graphical or stylistic form of another symbol.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.