Triple
T16024865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobán |
E388691
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Cobán Airport
Cobán Airport is a small regional airport serving the city of Cobán in central Guatemala, primarily handling domestic flights.
|
E1189940
|
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: Cobán Airport | Statement: [Cobán, hasAirport, Cobán Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobán Airport Context triple: [Cobán, hasAirport, Cobán Airport]
-
A.
Porvenir Airport
Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
-
B.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
-
C.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
D.
Tobías Bolaños International Airport
Tobías Bolaños International Airport is a secondary airport serving San José, Costa Rica, primarily handling domestic flights and general aviation.
-
E.
Palonegro International Airport
Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
- 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: Cobán Airport Triple: [Cobán, hasAirport, Cobán Airport]
Generated description
Cobán Airport is a small regional airport serving the city of Cobán in central Guatemala, primarily handling domestic flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cobán Airport Target entity description: Cobán Airport is a small regional airport serving the city of Cobán in central Guatemala, primarily handling domestic flights.
-
A.
Porvenir Airport
Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
-
B.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
-
C.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
D.
Tobías Bolaños International Airport
Tobías Bolaños International Airport is a secondary airport serving San José, Costa Rica, primarily handling domestic flights and general aviation.
-
E.
Palonegro International Airport
Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183258c708190acf1588c7ccb254c |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf31c8d8819096c562ba1453f3c0 |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd0adc58881908488e3237159ffab |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1376e5081908920ecd3a4744662 |
completed | May 10, 2026, 12:28 a.m. |
Created at: April 10, 2026, 4:55 a.m.