Triple
T3963300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kidsgrove |
E85955
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Alsager |
E104393
|
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: Alsager | Statement: [Kidsgrove, near, Alsager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsager Context triple: [Kidsgrove, near, Alsager]
-
A.
Alsager
chosen
Alsager is a small town in the unitary authority of Cheshire East in North West England, known for its residential character and proximity to the Staffordshire border.
-
B.
Ashby
Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
-
C.
Ashby
Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
-
D.
Yate
Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
-
E.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef971e5608190a66361484a6f52dc |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533bb92088190b7d0ba2eb92c3e80 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.