Triple
T29448130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSeries |
E746904
|
entity |
| Predicate | CS100NewName |
P167199
|
FINISHED |
| Object | Airbus A220-100 |
—
|
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: Airbus A220-100 | Statement: [CSeries, CS100NewName, Airbus A220-100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CS100NewName Context triple: [CSeries, CS100NewName, Airbus A220-100]
-
A.
courseName
Indicates the specific name or title assigned to a course in an educational context.
-
B.
DS100Code
Indicates a relationship where an entity is assigned or associated with a specific DS100 railway station code used for identification in scheduling or operations.
-
C.
enteredServiceAsCS100
Indicates that an entity began operational service specifically in the configuration or role designated as CS100.
-
D.
universityRenamedWith
Indicates that a university has changed its name to a new one, linking the original institution to its updated name.
-
E.
courseNumber
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
- 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_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:29 p.m.