Triple
T8968532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahnstein |
E214200
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Kettering |
E216801
|
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: Kettering | Statement: [Lahnstein, hasTwinTown, Kettering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettering Context triple: [Lahnstein, hasTwinTown, Kettering]
-
A.
Kettering
Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
-
B.
Kettering
chosen
Kettering is a market and industrial town in Northamptonshire, England, known historically for its boot and shoe manufacturing and its location on major road and rail routes.
-
C.
Woburn
Woburn is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and mix of high-rise apartments and single-family homes.
-
D.
Woburn
Woburn is a historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
-
E.
Keele
Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6764aca48190a5e472d1b6841886 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc95cbc4c8190a3ac582f735eeb35 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.