Triple
T12293209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Coastal Airlines |
E293017
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
PCO
PCO is the ICAO airline designator assigned to Pacific Coastal Airlines, a Canadian regional carrier based in British Columbia.
|
E975589
|
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: PCO | Statement: [Pacific Coastal Airlines, ICAOcode, PCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PCO Context triple: [Pacific Coastal Airlines, ICAOcode, PCO]
-
A.
PDCO
PDCO is the European Medicines Agency’s Paediatric Committee, responsible for assessing and promoting the development and safe use of medicines for children in the European Union.
-
B.
POCOG
POCOG is the organizing committee responsible for planning and hosting the 2018 PyeongChang Winter Olympic and Paralympic Games in South Korea.
-
C.
PCPO
The PCPO is a major centre-right political party in Ontario, Canada, traditionally advocating fiscal conservatism and forming one of the province’s two dominant parties.
-
D.
PCU
PCU is a 1994 college comedy film satirizing campus political correctness and fraternity culture.
-
E.
PCC
PCC is a standardized, streamlined electric streetcar design widely used in North American and European cities during the mid-20th century for urban public transit.
- 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: PCO Triple: [Pacific Coastal Airlines, ICAOcode, PCO]
Generated description
PCO is the ICAO airline designator assigned to Pacific Coastal Airlines, a Canadian regional carrier based in British Columbia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PCO Target entity description: PCO is the ICAO airline designator assigned to Pacific Coastal Airlines, a Canadian regional carrier based in British Columbia.
-
A.
PDCO
PDCO is the European Medicines Agency’s Paediatric Committee, responsible for assessing and promoting the development and safe use of medicines for children in the European Union.
-
B.
POCOG
POCOG is the organizing committee responsible for planning and hosting the 2018 PyeongChang Winter Olympic and Paralympic Games in South Korea.
-
C.
PCPO
The PCPO is a major centre-right political party in Ontario, Canada, traditionally advocating fiscal conservatism and forming one of the province’s two dominant parties.
-
D.
PCU
PCU is a 1994 college comedy film satirizing campus political correctness and fraternity culture.
-
E.
PCC
PCC is a standardized, streamlined electric streetcar design widely used in North American and European cities during the mid-20th century for urban public transit.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e775dac819099d44b61cbccc109 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5cc5608190a67a888eb5136ada |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62009766c8190985fafe9ba53ae7b |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:52 p.m.