Triple
T7252754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wooden Wonder |
E157643
|
entity |
| Predicate | associatedWithEngineConfiguration |
P44691
|
FINISHED |
| Object | twin-engined aircraft |
—
|
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: twin-engined aircraft | Statement: [Wooden Wonder, associatedWithEngineConfiguration, twin-engined aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEngineConfiguration Context triple: [Wooden Wonder, associatedWithEngineConfiguration, twin-engined aircraft]
-
A.
engineConfigurationSupport
Indicates that one entity provides or defines support for a particular engine configuration of another entity.
-
B.
associatedWithSetting
chosen
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
-
C.
previouslyUsedEngine
Indicates that an engine has been used before in a prior context or application, rather than being new or unused.
-
D.
associatedWithLocomotive
Indicates a relationship where something is connected or related to a locomotive, such as by use, function, origin, or context.
-
E.
appliesToConfiguration
Indicates that something (such as a rule, setting, or operation) is relevant to, affects, or is intended for a particular configuration.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9d41908190bb76c6a5b9d5b1a2 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.