Triple
T38401767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce 250-C20W |
E900916
|
entity |
| Predicate | familyUsage |
P193814
|
FINISHED |
| Object | widely used in light helicopters |
—
|
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: widely used in light helicopters | Statement: [Rolls-Royce 250-C20W, familyUsage, widely used in light helicopters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyUsage Context triple: [Rolls-Royce 250-C20W, familyUsage, widely used in light helicopters]
-
A.
familyApplication
Indicates that an application or request is made in the context of a family relationship, typically involving or affecting multiple family members.
-
B.
usedByFamily
Indicates that something is regularly utilized or consumed by a family as a group.
-
C.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
D.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
E.
familySaved
Indicates that one entity has rescued, protected, or preserved the well-being or survival of another entity’s family.
- F. None of above. chosen
Provenance (4 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: May 3, 2026, 4:31 p.m.