Triple
T17334430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CF6-80E1A3 |
E420897
|
entity |
| Predicate | relatedVariant |
P104759
|
FINISHED |
| Object | CF6-80E1A2 |
—
|
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: CF6-80E1A2 | Statement: [CF6-80E1A3, relatedVariant, CF6-80E1A2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedVariant Context triple: [CF6-80E1A3, relatedVariant, CF6-80E1A2]
-
A.
relatedSpeciesOrVariant
Indicates that one species or biological variant is taxonomically or genetically related to another.
-
B.
likelyVariantOf
chosen
Indicates that one entity is probably a variant, version, or alternative form of another entity, based on available evidence or similarity.
-
C.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.