Triple
T19239000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapala |
E481079
|
entity |
| Predicate | hasTransportInfrastructure |
P2560
|
FINISHED |
| Object |
Zapala Airport
Zapala Airport is a regional airport in Zapala, Neuquén Province, Argentina, serving as an air transport hub for the surrounding area.
|
E1365895
|
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: Zapala Airport | Statement: [Zapala, hasTransportInfrastructure, Zapala Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapala Airport Context triple: [Zapala, hasTransportInfrastructure, Zapala Airport]
-
A.
Čilipi Airport
Čilipi Airport is the main international airport serving Dubrovnik and the surrounding southern Dalmatian region of Croatia.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
-
D.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
-
E.
Mitú Airport
Mitú Airport is a regional public airport serving the remote town of Mitú in Colombia’s Vaupés Department, providing vital air connectivity to this isolated Amazonian area.
- 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: Zapala Airport Triple: [Zapala, hasTransportInfrastructure, Zapala Airport]
Generated description
Zapala Airport is a regional airport in Zapala, Neuquén Province, Argentina, serving as an air transport hub for the surrounding area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zapala Airport Target entity description: Zapala Airport is a regional airport in Zapala, Neuquén Province, Argentina, serving as an air transport hub for the surrounding area.
-
A.
Čilipi Airport
Čilipi Airport is the main international airport serving Dubrovnik and the surrounding southern Dalmatian region of Croatia.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
-
D.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
-
E.
Mitú Airport
Mitú Airport is a regional public airport serving the remote town of Mitú in Colombia’s Vaupés Department, providing vital air connectivity to this isolated Amazonian area.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faef827c81909157bbcd4060dfc9 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705da6b008190ac2c2b70d5caa054 |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a07069434cc8190a91be8afb5bd88c8 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07074bd4288190b2f51e0392efcdc3 |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 1:26 p.m.