Triple
T7976437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saverne |
E185457
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Leominster |
E209074
|
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: Leominster | Statement: [Saverne, twinTown, Leominster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leominster Context triple: [Saverne, twinTown, Leominster]
-
A.
Leominster
chosen
Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
-
B.
Leominster, Massachusetts
Leominster, Massachusetts is a small city in north-central Massachusetts known historically for its plastics industry and as the birthplace of the modern plastic comb.
-
C.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
D.
Methuen
Methuen is a British publishing house known for producing academic, educational, and literary works.
-
E.
Wiscasset, Maine
Wiscasset, Maine is a historic coastal town on the Sheepscot River known for its well-preserved 18th- and 19th-century architecture and reputation as one of New England’s most picturesque villages.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.