Triple
T11702641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erechim |
E278162
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Erechim Airport
Erechim Airport is a regional public airport serving the city of Erechim in the state of Rio Grande do Sul, Brazil.
|
E948755
|
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: Erechim Airport | Statement: [Erechim, hasAirport, Erechim Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erechim Airport Context triple: [Erechim, hasAirport, Erechim Airport]
-
A.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
-
B.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
C.
Yariguíes Airport
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
-
D.
El Lencero Airport
El Lencero Airport is a small regional airport serving the city of Xalapa and the surrounding area in the state of Veracruz, Mexico.
-
E.
Sharurah Domestic Airport
Sharurah Domestic Airport is a regional airport in Sharurah, Saudi Arabia, providing domestic air services that connect the city with other destinations in the country.
- 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: Erechim Airport Triple: [Erechim, hasAirport, Erechim Airport]
Generated description
Erechim Airport is a regional public airport serving the city of Erechim in the state of Rio Grande do Sul, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erechim Airport Target entity description: Erechim Airport is a regional public airport serving the city of Erechim in the state of Rio Grande do Sul, Brazil.
-
A.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
-
B.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
C.
Yariguíes Airport
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
-
D.
El Lencero Airport
El Lencero Airport is a small regional airport serving the city of Xalapa and the surrounding area in the state of Veracruz, Mexico.
-
E.
Sharurah Domestic Airport
Sharurah Domestic Airport is a regional airport in Sharurah, Saudi Arabia, providing domestic air services that connect the city with other destinations in the country.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1304cf94c819084b47fa260ca3a9f |
completed | April 28, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f138b5f8988190a7ff95095eafd0b1 |
completed | April 28, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14e9b30a88190a054961a2f7fc80d |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 8, 2026, 9:40 p.m.