Triple
T12924421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylon |
E309207
|
entity |
| Predicate | elevatorNickname |
P98166
|
FINISHED |
| Object | Yellow Bug elevators |
—
|
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: Yellow Bug elevators | Statement: [Skylon, elevatorNickname, Yellow Bug elevators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevatorNickname Context triple: [Skylon, elevatorNickname, Yellow Bug elevators]
-
A.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
C.
nicknameOfProduct
chosen
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
D.
echoesNickname
Indicates that one entity repeats, adopts, or mirrors another entity’s nickname.
-
E.
antennaNickname
Indicates that an antenna has an associated informal or alternative name used to refer to it.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.