Triple
T16432341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harveys Brewery |
E399097
|
entity |
| Predicate | hasNumberOfGenerations |
P8002
|
FINISHED |
| Object | multiple generations of Harvey family |
—
|
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: multiple generations of Harvey family | Statement: [Harveys Brewery, hasNumberOfGenerations, multiple generations of Harvey family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfGenerations Context triple: [Harveys Brewery, hasNumberOfGenerations, multiple generations of Harvey family]
-
A.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
-
B.
hasTypeOfGeneration
Indicates that one entity is characterized by or associated with a particular kind or method of generation.
-
C.
generationCount
chosen
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
-
D.
followsGenerationsOf
Indicates that one entity comes after and is separated from another by multiple generations in a lineage or succession.
-
E.
hasGenerationRelationship
Indicates that one entity is involved in producing, creating, or giving rise to another entity.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9f2e8c81909c60b8fb78255e5f |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.