Triple
T13517007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattleya |
E322786
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Sky Italia |
E86240
|
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: Sky Italia | Statement: [Cattleya, collaboratesWith, Sky Italia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Italia Context triple: [Cattleya, collaboratesWith, Sky Italia]
-
A.
Sky Italia
chosen
Sky Italia is a major Italian satellite television and media company offering a wide range of pay-TV channels, sports, films, and entertainment services.
-
B.
SKY
SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
-
C.
SKY
SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
-
D.
Bell’Italia
Bell’Italia is a themed miniature recreation of iconic Italian landscapes and cities located within the Ferrari World Abu Dhabi theme park.
-
E.
Italy Star
The Italy Star is a British Commonwealth campaign medal awarded for operational service in Italy and surrounding regions during the Second World War.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75496496c819093a9e763d293bcf7 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.