Triple
T5338449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonje |
E123882
|
entity |
| Predicate | hasVariantType |
P455
|
FINISHED |
| Object | pet form of longer names |
—
|
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: pet form of longer names | Statement: [Tonje, hasVariantType, pet form of longer names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariantType Context triple: [Tonje, hasVariantType, pet form of longer names]
-
A.
hasVariant
chosen
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
hasVariantSystem
Indicates that one system is an alternative or variant form of another system within the same general framework or category.
-
C.
hasVersionType
Indicates that one entity is associated with a specific kind or category of version of another entity.
-
D.
hasVariantSeries
Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
-
E.
hasParType
Indicates that an entity has a specific parent type or category to which it belongs.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.