Triple
T31943895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_tb |
E815594
|
entity |
| Predicate | hasQuarkGenerationRelation |
P33476
|
FINISHED |
| Object | third-generation up-type to third-generation down-type |
—
|
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: third-generation up-type to third-generation down-type | Statement: [V_tb, hasQuarkGenerationRelation, third-generation up-type to third-generation down-type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuarkGenerationRelation Context triple: [V_tb, hasQuarkGenerationRelation, third-generation up-type to third-generation down-type]
-
A.
hasGenerationRelationship
Indicates that one entity is involved in producing, creating, or giving rise to another entity.
-
B.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
-
C.
belongsToGeneration
Indicates that an entity is associated with, classified within, or a member of a particular generation or generational group.
-
D.
hasTypeOfGeneration
Indicates that one entity is characterized by or associated with a particular kind or method of generation.
-
E.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:06 a.m.