Triple
T24131353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce BR710 |
E597960
|
entity |
| Predicate | fan |
P154956
|
FINISHED |
| Object | single-stage fan |
—
|
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: single-stage fan | Statement: [Rolls-Royce BR710, fan, single-stage fan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fan Context triple: [Rolls-Royce BR710, fan, single-stage fan]
-
A.
fanTerm
Indicates that one entity is a term, label, or expression used by fans to refer to or describe another entity.
-
B.
fanOwned
Indicates that the entity is owned or controlled by fans, typically through collective or community-based ownership rather than traditional private or corporate ownership.
-
C.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
D.
fanInvolved
Indicates that a fan actively participates in or is directly involved with a particular event, activity, or interaction.
-
E.
fanDiscussion
Indicates a discussion or conversation among fans about a shared interest, such as a work, person, or event they follow.
- 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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7788788190a71ad080fc2890a8 |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:25 p.m.