Triple
T13098373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Ekpo International Airport |
E310649
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CBQ
CBQ is the IATA airport code for Margaret Ekpo International Airport serving Calabar, Nigeria.
|
E1019811
|
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: CBQ | Statement: [Margaret Ekpo International Airport, IATAcode, CBQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBQ Context triple: [Margaret Ekpo International Airport, IATAcode, CBQ]
-
A.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
B.
CBW
CBW is the National Rail station code for Canterbury West railway station in Canterbury, Kent, England.
-
C.
CB
CB is the vehicle registration code used for cars registered in the Czech city of České Budějovice.
-
D.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
E.
CB
CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
- 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: CBQ Triple: [Margaret Ekpo International Airport, IATAcode, CBQ]
Generated description
CBQ is the IATA airport code for Margaret Ekpo International Airport serving Calabar, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CBQ Target entity description: CBQ is the IATA airport code for Margaret Ekpo International Airport serving Calabar, Nigeria.
-
A.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
B.
CBW
CBW is the National Rail station code for Canterbury West railway station in Canterbury, Kent, England.
-
C.
CB
CB is the vehicle registration code used for cars registered in the Czech city of České Budějovice.
-
D.
CB
CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
-
E.
CB
CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d619b82c819093d0d98db88eb9ae |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d7da15b08190ba181bbb1a386acb |
completed | May 3, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8cdf48081909b6088e7d72fc3c5 |
completed | May 3, 2026, 5:10 a.m. |
Created at: April 9, 2026, 9:04 p.m.