Triple
T20545973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertol Model 107 |
E504469
|
entity |
| Predicate | stabilityFeature |
P93629
|
FINISHED |
| Object | tandem rotor for torque balance |
—
|
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: tandem rotor for torque balance | Statement: [Vertol Model 107, stabilityFeature, tandem rotor for torque balance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilityFeature Context triple: [Vertol Model 107, stabilityFeature, tandem rotor for torque balance]
-
A.
stabilityCharacteristic
chosen
Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity or system.
-
B.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
C.
isStable
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
-
D.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
E.
hasStabilityLevel
Indicates that something possesses a particular degree or state of stability, often quantified or categorized along a defined scale.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a298630c8190993d53fc27eb3aec |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.