Triple
T21491135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolvenden |
E530237
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | CRANBROOK |
—
|
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: CRANBROOK | Statement: [Rolvenden, hasPostTown, CRANBROOK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRANBROOK Context triple: [Rolvenden, hasPostTown, CRANBROOK]
-
A.
Cranbrook
Cranbrook is a small city in southeastern British Columbia, Canada, known as a regional service and transportation hub in the Kootenay region.
-
B.
Cranbrook
chosen
Cranbrook is a historic market town in Kent, England, known for its well-preserved medieval architecture and role as a local rural center.
-
C.
Cranbrook, British Columbia, Canada
Cranbrook is a small city in southeastern British Columbia, Canada, known as a regional service and transportation hub in the Kootenay region and as the birthplace of hockey legend Steve Yzerman.
-
D.
Cranbrook, Michigan
Cranbrook, Michigan is a historic educational and cultural campus in Bloomfield Hills known for its influential art, architecture, and design institutions.
-
E.
Westmark
Westmark is a young adult fantasy novel by Lloyd Alexander that follows a printer’s apprentice caught up in political upheaval and revolution in a fictional European-style kingdom.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3aee648190ba845f0c7d8110dd |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:22 p.m.