Triple
T17970441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British European |
E449323
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | JERSEY |
—
|
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: JERSEY | Statement: [British European, callsign, JERSEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JERSEY Context triple: [British European, callsign, JERSEY]
-
A.
JERSEY
chosen
JERSEY is the radio callsign used by the former British regional airline Flybe for air traffic control communications.
-
B.
Jersey
"Jersey" is a Hindi-language sports drama film starring Shahid Kapoor as a former cricketer who attempts a late comeback to fulfill his son's wish and his own unrealized dreams.
-
C.
Jersey
Jersey is a self-governing British Crown Dependency in the Channel Islands, known for its finance industry, tourism, and unique blend of British and French cultural influences.
-
D.
New Brunswick
New Brunswick is a bilingual Canadian province on the Atlantic coast known for its significant Irish Canadian heritage, maritime culture, and forested landscapes.
-
E.
Rhoda Island
Rhoda Island is a Nile island in central Cairo, Egypt, known for its historic palaces, gardens, and cultural landmarks.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fa67c48190936f20cea45e4599 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.