Triple
T4592977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugeley |
E103537
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Cannock |
E162398
|
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: Cannock | Statement: [Rugeley, hasNearbySettlement, Cannock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cannock Context triple: [Rugeley, hasNearbySettlement, Cannock]
-
A.
Cannock
chosen
Cannock is a market town in the Cannock Chase district of Staffordshire, England, known historically for coal mining and its proximity to the Cannock Chase Area of Outstanding Natural Beauty.
-
B.
Lichfield
Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
-
C.
Rugeley
Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
-
D.
Middlewich
Middlewich is a historic market town in Cheshire, England, known for its long-standing salt production and location at the junction of several canals.
-
E.
Redditch
Redditch is a town in the county of Worcestershire in England, historically known for its needle-making industry and now a modern residential and commercial center.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd593cf8508190acfc6ddb5716e80a |
completed | March 20, 2026, 2:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa3f792881908f7d0bc1f09d517e |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:11 p.m.