Triple
T11058943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huambo |
E261453
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Albano Machado Airport
Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
|
E915827
|
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: Albano Machado Airport | Statement: [Huambo, hasAirport, Albano Machado Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albano Machado Airport Context triple: [Huambo, hasAirport, Albano Machado Airport]
-
A.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
B.
Benito Salas Airport
Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
-
C.
Abel Santamaría Airport
Abel Santamaría Airport is an international airport in Santa Clara, Cuba, serving as a key gateway for tourists visiting the central region and nearby resort areas.
-
D.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
E.
Guayaramerín Airport
Guayaramerín Airport is a public airport serving the town of Guayaramerín in the Beni Department of northeastern Bolivia, near the border with Brazil.
- 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: Albano Machado Airport Triple: [Huambo, hasAirport, Albano Machado Airport]
Generated description
Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albano Machado Airport Target entity description: Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
-
A.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
B.
Benito Salas Airport
Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
-
C.
Abel Santamaría Airport
Abel Santamaría Airport is an international airport in Santa Clara, Cuba, serving as a key gateway for tourists visiting the central region and nearby resort areas.
-
D.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
E.
Guayaramerín Airport
Guayaramerín Airport is a public airport serving the town of Guayaramerín in the Beni Department of northeastern Bolivia, near the border with Brazil.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a4f3f88190a29710f64cef9d25 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3768c0081908d209b854dd08dd2 |
completed | April 19, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:26 p.m.