Triple
T6964449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AJet |
E161451
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
CINAR
CINAR is the designated radio callsign used by the airline AJet for air traffic control and communication purposes.
|
E630624
|
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: CINAR | Statement: [AJet, callsign, CINAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CINAR Context triple: [AJet, callsign, CINAR]
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
-
C.
Vides Cinematografica
Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
-
D.
Cinema International Corporation
Cinema International Corporation was a major international film distribution company formed by the joint venture of major Hollywood studios to handle the overseas release of their movies in the 1970s and early 1980s.
-
E.
Yara Cinema
Yara Cinema is a prominent and historic movie theater in Havana, Cuba, known as a cultural landmark and popular gathering place in the Vedado district.
- 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: CINAR Triple: [AJet, callsign, CINAR]
Generated description
CINAR is the designated radio callsign used by the airline AJet for air traffic control and communication purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CINAR Target entity description: CINAR is the designated radio callsign used by the airline AJet for air traffic control and communication purposes.
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Cinemastar
Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
-
C.
Vides Cinematografica
Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
-
D.
Cinema International Corporation
Cinema International Corporation was a major international film distribution company formed by the joint venture of major Hollywood studios to handle the overseas release of their movies in the 1970s and early 1980s.
-
E.
Yara Cinema
Yara Cinema is a prominent and historic movie theater in Havana, Cuba, known as a cultural landmark and popular gathering place in the Vedado district.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf2b7bc8190a3e73f3b24f0352b |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c759553fe081909881c8d2ae680dfe |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759c79de48190bd3e079c07a9158a |
completed | March 28, 2026, 4:32 a.m. |
Created at: March 27, 2026, 2:30 p.m.