Triple
T29448110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSeries |
E746904
|
entity |
| Predicate | ICAOCodeCS300 |
P167433
|
FINISHED |
| Object | BCS3 |
—
|
NE NERFINISHED |
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: BCS3 | Statement: [CSeries, ICAOCodeCS300, BCS3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICAOCodeCS300 Context triple: [CSeries, ICAOCodeCS300, BCS3]
-
A.
ICAOcode
Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
-
B.
IATAcode
Indicates the three-letter IATA airport or airline code assigned to the entity.
-
C.
ICAOEngineCode
Indicates that an engine is identified or classified by a specific ICAO (International Civil Aviation Organization) engine code.
-
D.
airlineICAOcallsign
Indicates the official ICAO radio callsign phrase used to identify a specific airline in air traffic communications.
-
E.
servesAirportICAO
Indicates that a transportation service or facility operates routes to or from the airport identified by the given ICAO code.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b22beec8190978f4cf0f602fc20 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 3:29 p.m.