Triple
T11926968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convair 990 Coronado |
E283807
|
entity |
| Predicate | airlineCustomer |
P102192
|
FINISHED |
| Object | Varig |
E118834
|
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: Varig | Statement: [Convair 990 Coronado, airlineCustomer, Varig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varig Context triple: [Convair 990 Coronado, airlineCustomer, Varig]
-
A.
Varig
chosen
Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
-
B.
Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
-
C.
Varia
Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
-
D.
Váli
Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
-
E.
Val Varaita
Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440525e9881909b21df139d97d986 |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.