Triple
T18490411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Durham |
E451802
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Chester-le-Street |
—
|
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: Chester-le-Street | Statement: [Lord Durham, burialPlace, Chester-le-Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester-le-Street Context triple: [Lord Durham, burialPlace, Chester-le-Street]
-
A.
Chester-le-Street
chosen
Chester-le-Street is a historic market town in North East England, known for its Roman origins and location between Durham and Newcastle upon Tyne.
-
B.
Didlington
Didlington is a small village in Norfolk, England, known for its rural landscape, historic estate, and proximity to the River Wissey.
-
C.
Cramlington
Cramlington is a modern, largely residential town in North East England known for its post-war development and proximity to Newcastle upon Tyne.
-
D.
Chester city centre
Chester city centre is the historic core of the city of Chester in Cheshire, England, known for its well-preserved Roman walls, medieval architecture, and distinctive two-tiered shopping galleries.
-
E.
Morpeth
Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531db64b8819089f638718dddb1dc |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.