Triple
T3984590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutland |
E86840
|
entity |
| Predicate | largestTown |
P235
|
FINISHED |
| Object | Oakham |
E404862
|
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: Oakham | Statement: [Rutland, largestTown, Oakham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakham Context triple: [Rutland, largestTown, Oakham]
-
A.
Oakham
chosen
Oakham is a historic market town in England’s East Midlands and the principal settlement of the county of Rutland.
-
B.
Loughborough
Loughborough is a large market and university town in Leicestershire, England, known for Loughborough University and its strong engineering and sports science reputation.
-
C.
Leamington
Leamington is a small rural town located in Millard County in central Utah, known for its agricultural setting and proximity to the Sevier River.
-
D.
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.
-
E.
Kettering
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.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c4a769c819097fb9bfd5890a4f9 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:33 p.m.