Triple
T14197241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuneaton railway station |
E351867
|
entity |
| Predicate | hasServiceTo |
P6787
|
FINISHED |
| Object | Hinckley |
E168604
|
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: Hinckley | Statement: [Nuneaton railway station, hasServiceTo, Hinckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinckley Context triple: [Nuneaton railway station, hasServiceTo, Hinckley]
-
A.
Hinckley
chosen
Hinckley is a market town in southwest Leicestershire, England, known historically for its hosiery industry and its location between Coventry and Leicester.
-
B.
Hinckley
Hinckley is a small town in central Utah, United States, known for its rural agricultural setting and proximity to the Sevier Desert.
-
C.
Mansfield
Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
-
D.
Mansfield
Mansfield is a town in southeastern Massachusetts known for its residential communities and the Xfinity Center outdoor concert venue.
-
E.
Mansfield
Mansfield is a small borough in northern Pennsylvania known for its rural setting and the presence of Mansfield University of Pennsylvania.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194d14008190a74021ff5a3e51d1 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.