Triple
T8415023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A11 Bionic |
E198711
|
entity |
| Predicate | bigLittleConfiguration |
P82045
|
FINISHED |
| Object | 2× Monsoon + 4× Mistral |
—
|
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: 2× Monsoon + 4× Mistral | Statement: [Apple A11 Bionic, bigLittleConfiguration, 2× Monsoon + 4× Mistral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bigLittleConfiguration Context triple: [Apple A11 Bionic, bigLittleConfiguration, 2× Monsoon + 4× Mistral]
-
A.
bigThreeWith
Indicates a relationship where three entities are grouped or associated together as a primary or most significant trio in a given context.
-
B.
laterConfiguration
Indicates that one configuration occurs after another in time, representing a subsequent or later state relative to a prior configuration.
-
C.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
D.
mainDimension
Indicates the primary or most significant dimension by which something is measured, organized, or characterized within a given context.
-
E.
defaultConfigurationTool
Indicates that one tool is designated as the standard or primary utility used for configuring another system or component.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:06 p.m.