Triple
T21726977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cataratas del Iguazú International Airport |
E536298
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | IGR |
—
|
NE NERFINISHED |
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: IGR | Statement: [Cataratas del Iguazú International Airport, IATAcode, IGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IGR Context triple: [Cataratas del Iguazú International Airport, IATAcode, IGR]
-
A.
IGR
chosen
IGR is the IATA airport code for Cataratas del Iguazú International Airport serving Puerto Iguazú in Argentina, a gateway to the Iguazú Falls.
-
B.
IGRUA
IGRUA is a premier Indian government-run flying training institute that specializes in training commercial pilots and aviation professionals.
-
C.
IRG
IRG is the commonly used abbreviation for the International Rice Genebank, a major global repository for conserving rice genetic diversity.
-
D.
IGRMS
IGRMS is a national museum of anthropology in Bhopal, India, dedicated to showcasing the diverse cultural heritage and traditional lifestyles of Indian communities.
-
E.
IGU
IGU is the IATA airport code for Foz do Iguaçu International Airport in Brazil, serving the Iguaçu Falls region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.