Triple
T27535234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Arresting Gear |
E695077
|
entity |
| Predicate | introducedForClass |
P154218
|
FINISHED |
| Object | Gerald R. Ford-class aircraft carrier |
—
|
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: Gerald R. Ford-class aircraft carrier | Statement: [Advanced Arresting Gear, introducedForClass, Gerald R. Ford-class aircraft carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedForClass Context triple: [Advanced Arresting Gear, introducedForClass, Gerald R. Ford-class aircraft carrier]
-
A.
introducedAsPartOfClass
Indicates that something was introduced as a component or element within a particular class or course.
-
B.
introducedClass345
Indicates that one entity formally presented or brought another entity (such as a person, concept, or item) to the attention of others for the first time.
-
C.
classIntroduced
Indicates that a particular class (e.g., in a programming language or system) has been newly defined or made available within a given context or scope.
-
D.
introducedFor
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
-
E.
introducedForEntity
chosen
Indicates that one entity was brought into use, presented, or made known specifically for the benefit, purpose, or context of 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 27, 2026, 1:28 p.m.