Triple
T19471637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siddeley Puma |
E487135
|
entity |
| Predicate | firstFlightInServicePeriod |
P28082
|
FINISHED |
| Object | circa 1917 |
—
|
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: circa 1917 | Statement: [Siddeley Puma, firstFlightInServicePeriod, circa 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightInServicePeriod Context triple: [Siddeley Puma, firstFlightInServicePeriod, circa 1917]
-
A.
firstFlightPeriod
Indicates the time period during which an entity’s first flight or initial airborne operation took place.
-
B.
firstFlownAt
chosen
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
-
C.
firstFlightOnType
Indicates that an entity represents the first flight event conducted with a particular aircraft type or model.
-
D.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
E.
firstFlightService
Indicates that an entity operates or provides service on the earliest scheduled flight in a given context or route.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e8d9188190a4939f03bad89add |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.