Triple
T5789424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronel FAP Francisco Secada Vignetta International Airport |
E128354
|
entity |
| Predicate | isMainAirportOf |
P281
|
FINISHED |
| Object | Iquitos |
E22698
|
NE FINISHED |
How this triple was built (2 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: Iquitos | Statement: [Coronel FAP Francisco Secada Vignetta International Airport, isMainAirportOf, Iquitos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iquitos Context triple: [Coronel FAP Francisco Secada Vignetta International Airport, isMainAirportOf, Iquitos]
-
A.
Iquitos
chosen
Iquitos is a major Peruvian city in the Amazon rainforest, known as one of the world’s largest cities accessible only by river and air.
-
B.
Puerto Maldonado
Puerto Maldonado is a frontier city in the Peruvian Amazon known as a gateway to the Madre de Dios rainforest and nearby biodiversity-rich reserves.
-
C.
Juliaca
Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
-
D.
Chiclayo
Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
-
E.
Tarapoto
Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a53d0148190bdebc4f5609939ac |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e349d0088190be108aa266d3af82 |
completed | March 23, 2026, 6:52 a.m. |
Created at: March 22, 2026, 3:51 p.m.