Triple
T4159975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadair CL-215 |
E91506
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
CL-215T
The CL-215T is a turboprop-powered, modernized version of the Canadair CL-215 amphibious water bomber, used primarily for aerial firefighting operations.
|
E417333
|
NE FINISHED |
How this triple was built (4 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: CL-215T | Statement: [Canadair CL-215, variant, CL-215T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CL-215T Context triple: [Canadair CL-215, variant, CL-215T]
-
A.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
B.
T-25 Universal
The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
-
C.
C-21A
The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
-
D.
TX-12
TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
-
E.
LC-19
LC-19 is a historic launch complex at Cape Canaveral used extensively during NASA’s early crewed spaceflight programs, including the Gemini missions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CL-215T Triple: [Canadair CL-215, variant, CL-215T]
Generated description
The CL-215T is a turboprop-powered, modernized version of the Canadair CL-215 amphibious water bomber, used primarily for aerial firefighting operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CL-215T Target entity description: The CL-215T is a turboprop-powered, modernized version of the Canadair CL-215 amphibious water bomber, used primarily for aerial firefighting operations.
-
A.
TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
-
B.
T-25 Universal
The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
-
C.
C-21A
The C-21A is a U.S. military transport and medical evacuation aircraft derived from the Learjet 35 business jet.
-
D.
TX-12
TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
-
E.
LC-19
LC-19 is a historic launch complex at Cape Canaveral used extensively during NASA’s early crewed spaceflight programs, including the Gemini missions.
- F. None of above. chosen
Provenance (5 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af029454d08190b7ff32776081fabc |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f40678481908894ff315932a610 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57ff73cf88190b103db0694c1a923 |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58094c690819080dbde068ff1b119 |
completed | March 14, 2026, 3:36 p.m. |
Created at: March 9, 2026, 3:44 p.m.