Triple
T11911936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZUL |
E283416
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | AZUL |
E283416
|
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: AZUL | Statement: [AZUL, callsign, AZUL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZUL Context triple: [AZUL, callsign, AZUL]
-
A.
AZUL
chosen
AZUL is a Brazilian low-cost airline known for its extensive domestic network and vibrant blue branding.
-
B.
Azul...
"Azul..." is a landmark 1888 modernist poetry collection by Nicaraguan writer Rubén Darío that helped inaugurate Spanish-language literary modernismo.
-
C.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
D.
Aguazul
Aguazul is a Colombian town and municipality located in the Casanare Department in the eastern plains (Llanos) region.
-
E.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44014e1d08190ac7425f375ca023f |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:44 p.m.