Triple
T22478715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 156 |
E555702
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Sprinter |
—
|
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: Sprinter | Statement: [British Rail Class 156, family, Sprinter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprinter Context triple: [British Rail Class 156, family, Sprinter]
-
A.
Sprinter
chosen
Sprinter is a family of British diesel multiple-unit passenger trains widely used on regional and local services across the UK rail network.
-
B.
SPRINTER
SPRINTER is a light rail service in northern San Diego County, California, providing east–west transit between Oceanside and Escondido.
-
C.
Super Sprinter
Super Sprinter is the marketing name used for British Rail Class 156 diesel multiple-unit trains introduced in the late 1980s for regional passenger services in the UK.
-
D.
Athlet
Athlet is a renowned sculpture by German artist Georg Kolbe, exemplifying his dynamic, modernist approach to the human figure.
-
E.
Atlit
Atlit is a coastal town in northern Israel known for its Crusader-era fortress, detention camp museum, and proximity to Haifa.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be653bc8190a2e5c47e38228bfe |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.