Triple
T23121751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio José de Sucre Airport |
E576911
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CUM
CUM is the IATA airport code for Antonio José de Sucre Airport, a regional airport serving the city of Cumaná in Venezuela.
|
E1570852
|
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: CUM | Statement: [Antonio José de Sucre Airport, IATAcode, CUM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUM Context triple: [Antonio José de Sucre Airport, IATAcode, CUM]
-
A.
Cump
Cump is the childhood nickname of William Tecumseh Sherman, the prominent Union general in the American Civil War.
-
B.
CUN
CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
-
C.
Cus
Cus is the widely used nickname of legendary boxing trainer and manager Cus D'Amato, known for mentoring champions like Mike Tyson.
-
D.
CUZ
CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
-
E.
CUD
CUD is the National Rail station code assigned to Cumbernauld railway station in Scotland.
- 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: CUM Triple: [Antonio José de Sucre Airport, IATAcode, CUM]
Generated description
CUM is the IATA airport code for Antonio José de Sucre Airport, a regional airport serving the city of Cumaná in Venezuela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUM Target entity description: CUM is the IATA airport code for Antonio José de Sucre Airport, a regional airport serving the city of Cumaná in Venezuela.
-
A.
Cump
Cump is the childhood nickname of William Tecumseh Sherman, the prominent Union general in the American Civil War.
-
B.
CUN
CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
-
C.
Cus
Cus is the widely used nickname of legendary boxing trainer and manager Cus D'Amato, known for mentoring champions like Mike Tyson.
-
D.
CUZ
CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
-
E.
CUD
CUD is the National Rail station code assigned to Cumbernauld railway station in Scotland.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e50c500819095d59aef44388153 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f050288190977d1e8ea85e56f2 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.