Triple
T5841547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 221 Super Voyager |
E129605
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Voyager family |
E119095
|
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: Voyager family | Statement: [British Rail Class 221 Super Voyager, family, Voyager family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voyager family Context triple: [British Rail Class 221 Super Voyager, family, Voyager family]
-
A.
Voyager family
chosen
The Voyager family is a series of high-speed diesel-electric multiple unit trains used in the United Kingdom for intercity passenger services.
-
B.
Vega family
The Vega family is a prominent fictional Californio family in Johnston McCulley’s Zorro stories, known for their social standing and connection to the hero Don Diego de la Vega.
-
C.
Voyager
Voyager is a class of high-speed diesel-electric multiple unit trains used for intercity passenger services in the United Kingdom.
-
D.
Voyager
Voyager is South African Airways’ loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
-
E.
Voyager
Voyager is the Royal Air Force’s multi-role tanker transport aircraft, providing air-to-air refuelling and strategic airlift capabilities.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d876fc819089818c731116af56 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a2506481908a3e638c1121bfd0 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.