Triple
T27749846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Lake-Y |
E702087
|
entity |
| Predicate | sameGenerationAs |
P163203
|
FINISHED |
| Object | Coffee Lake |
—
|
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: Coffee Lake | Statement: [Amber Lake-Y, sameGenerationAs, Coffee Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sameGenerationAs Context triple: [Amber Lake-Y, sameGenerationAs, Coffee Lake]
-
A.
laterGenerationOf
Indicates that one entity belongs to a generation that comes chronologically after the generation of another entity.
-
B.
belongsToGeneration
Indicates that an entity is associated with, classified within, or a member of a particular generation or generational group.
-
C.
designatesGenerationOf
Indicates that one entity formally assigns or specifies another entity as the generation or creation of something (e.g., a document, product, or version).
-
D.
followsGenerationsOf
Indicates that one entity comes after and is separated from another by multiple generations in a lineage or succession.
-
E.
samePersonAs
Indicates that two referenced entities are in fact the very same individual, not just similar or related.
- F. None of above. chosen
Provenance (4 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6371e33808190bd66d358dbd8d725 |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:19 p.m.