Triple
T15610155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croft Castle |
E375267
|
entity |
| Predicate | near |
P350
|
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: [Croft Castle, near, Leominster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leominster Context triple: [Croft Castle, near, 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.
Willimansett
Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
-
E.
Mellrichstadt
Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.