Triple
T7258970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 92 Squadron RAF |
E159596
|
entity |
| Predicate | mottoTextLatin |
P75985
|
FINISHED |
| Object | Aut pugna aut morere |
—
|
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: Aut pugna aut morere | Statement: [No. 92 Squadron RAF, mottoTextLatin, Aut pugna aut morere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoTextLatin Context triple: [No. 92 Squadron RAF, mottoTextLatin, Aut pugna aut morere]
-
A.
mottoTransliteration
Indicates the representation of a motto’s original text using the characters of another writing system (its transliteration).
-
B.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
C.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
D.
mottoStyle
Indicates the stylistic form or presentation in which a motto is expressed.
-
E.
languageOfMotto
Indicates the language in which a motto is written or expressed.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:57 p.m.