Triple
T1749974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratt & Whitney F117-PW-100 |
E38416
|
entity |
| Predicate | noiseCharacteristic |
P25458
|
FINISHED |
| Object | reduced noise relative to low-bypass engines |
—
|
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: reduced noise relative to low-bypass engines | Statement: [Pratt & Whitney F117-PW-100, noiseCharacteristic, reduced noise relative to low-bypass engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noiseCharacteristic Context triple: [Pratt & Whitney F117-PW-100, noiseCharacteristic, reduced noise relative to low-bypass engines]
-
A.
noiseReductionGoal
Indicates the intended target level or objective for reducing noise in a given context or system.
-
B.
mediaCharacterization
Indicates how an entity is portrayed, described, or framed by media sources in terms of attributes, tone, or narrative.
-
C.
networkCharacteristic
Indicates a relationship where a specific property or feature is attributed to a network or networking context.
-
D.
trackingErrorCharacteristic
Indicates the specific type or nature of the discrepancy between a tracked value and its reference or target over time.
-
E.
equipmentCharacteristic
chosen
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.