Triple
T33650527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICAO aircraft type designator system |
E862085
|
entity |
| Predicate | exampleDesignator |
P116039
|
FINISHED |
| Object | A320 for Airbus A320 family |
—
|
NE NERFINISHED |
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: A320 for Airbus A320 family | Statement: [ICAO aircraft type designator system, exampleDesignator, A320 for Airbus A320 family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleDesignator Context triple: [ICAO aircraft type designator system, exampleDesignator, A320 for Airbus A320 family]
-
A.
usesDesignator
Indicates that one entity employs or references a specific designator (such as a name, code, or identifier) to denote or refer to another entity.
-
B.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
C.
exampleDesignation
Indicates that one entity is identified or labeled as a representative or illustrative instance of another entity.
-
D.
designatorCategory
Indicates the classification or type assigned to a designator within a given system or context.
-
E.
typicalDesignation
chosen
Indicates that one entity is the usual or commonly used designation (name, label, or title) for 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.