Triple
T5173752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messerschmitt Bf 108 Taifun |
E116744
|
entity |
| Predicate | civilRegistrationCategory |
P62153
|
FINISHED |
| Object | light aircraft |
—
|
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: light aircraft | Statement: [Messerschmitt Bf 108 Taifun, civilRegistrationCategory, light aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilRegistrationCategory Context triple: [Messerschmitt Bf 108 Taifun, civilRegistrationCategory, light aircraft]
-
A.
civilRegistration
Indicates the official recording of a person’s vital life event (such as birth, marriage, or death) by a civil authority.
-
B.
civilRegistrationPrefixExample
Indicates that there is an example of a standard prefix used in civil registration identifiers or records.
-
C.
civicStatus
Indicates the legal or social standing of an individual within a civic or societal framework, such as marital or citizenship status.
-
D.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
E.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd796f7c308190a721e33aabd499ac |
completed | March 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79251b548190918a1eb930e24c22 |
completed | March 20, 2026, 4:43 p.m. |
Created at: March 20, 2026, 1:45 p.m.