Triple
T2249266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastaza Province |
E49577
|
entity |
| Predicate | transportHub |
P726
|
FINISHED |
| Object |
Puyo Airport
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
|
E247431
|
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: Puyo Airport | Statement: [Pastaza Province, transportHub, Puyo Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puyo Airport Context triple: [Pastaza Province, transportHub, Puyo Airport]
-
A.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
B.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
C.
Sibulan Airport
Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
-
D.
Dumna Airport
Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
-
E.
Tajima Airport
Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
- 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: Puyo Airport Triple: [Pastaza Province, transportHub, Puyo Airport]
Generated description
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puyo Airport Target entity description: Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
-
A.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
B.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
C.
Sibulan Airport
Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
-
D.
Dumna Airport
Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
-
E.
Tajima Airport
Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1948cc8190921b9fcc12c28db0 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6b73bb688190bcade17d991c4862 |
completed | March 9, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6be4431c81909c9b4ad82226215d |
completed | March 9, 2026, 6:42 a.m. |
Created at: March 4, 2026, 7:47 p.m.