Triple
T5493711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 158 |
E123762
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Sprinter |
E144345
|
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: Sprinter | Statement: [British Rail Class 158, family, Sprinter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprinter Context triple: [British Rail Class 158, 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.
Bowerman
Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
-
D.
Sprinter Sacre
Sprinter Sacre is a celebrated British National Hunt racehorse, widely regarded as one of the greatest two-mile chasers of the modern era.
-
E.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9281a0148190bb7a8dae9c991b9c |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c8fb5688190b29f27ce13324943 |
completed | March 22, 2026, 4:14 a.m. |
Created at: March 20, 2026, 2:10 p.m.