Triple
T31145216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bombardier CSeries test aircraft |
E793904
|
entity |
| Predicate | programmeFirstFlight |
P62849
|
FINISHED |
| Object | 2013-09-16 |
—
|
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: 2013-09-16 | Statement: [Bombardier CSeries test aircraft, programmeFirstFlight, 2013-09-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmeFirstFlight Context triple: [Bombardier CSeries test aircraft, programmeFirstFlight, 2013-09-16]
-
A.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
B.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
C.
firstFlightService
Indicates that an entity operates or provides service on the earliest scheduled flight in a given context or route.
-
D.
firstFreeFlightTest
Indicates that the event is the initial instance in which an aircraft, spacecraft, or similar vehicle is flown freely without external constraints or tethering.
-
E.
firstFlightPeriod
chosen
Indicates the time period during which an entity’s first flight or initial airborne operation took place.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 9:06 p.m.