Triple
T28337627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caproni Ca.60 Noviplano |
E717720
|
entity |
| Predicate | crashPhase |
P48491
|
FINISHED |
| Object | second test flight |
—
|
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: second test flight | Statement: [Caproni Ca.60 Noviplano, crashPhase, second test flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crashPhase Context triple: [Caproni Ca.60 Noviplano, crashPhase, second test flight]
-
A.
crash
Indicates that one entity collides violently with another entity or surface, often resulting in damage or disruption.
-
B.
accidentPhase
chosen
Indicates the specific stage or phase of progression within an accident or incident event.
-
C.
crashResultedIn
Indicates that a crash event caused or led to a particular outcome, consequence, or result.
-
D.
crashLandsIn
Indicates that an entity descends and lands in a location or object in an uncontrolled or damaging manner.
-
E.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64bd68ac08190b35887261657a408 |
completed | May 2, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:37 a.m.