Triple
T10909334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIO |
E257651
|
entity |
| Predicate | servesAsFocusCityFor |
P1655
|
FINISHED |
| Object | Equair |
E241454
|
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: Equair | Statement: [UIO, servesAsFocusCityFor, Equair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equair Context triple: [UIO, servesAsFocusCityFor, Equair]
-
A.
Equair
chosen
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
B.
Canair
Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
-
C.
Aereon
Aereon is an ethereal, air-elemental being known as an Elemental who serves as a prophetic guide to Riddick in the science fiction film "The Chronicles of Riddick."
-
D.
Consair
Consair is an abbreviated name historically used for Consolidated Aircraft, a major American aerospace manufacturer known for producing military aircraft such as the B-24 Liberator during World War II.
-
E.
Aerograd
Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1554fc61c8190a0354e2f24cb62e4 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.