Triple
T14573846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivelles |
E341986
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Challans |
E574807
|
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: Challans | Statement: [Nivelles, hasTwinTown, Challans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Challans Context triple: [Nivelles, hasTwinTown, Challans]
-
A.
Challans
chosen
Challans is a commune in western France known for its traditional poultry farming and as one of the main towns in the Vendée department.
-
B.
Code of the Road
"Code of the Road" is a song by the Canadian rock band Danko Jones, featured on their album *I Came to Dance*.
-
C.
Two Lorries
"Two Lorries" is a poem by Seamus Heaney that intertwines memories of his mother with the 1993 IRA bombing in Northern Ireland, reflecting on loss, violence, and the passage of time.
-
D.
Carreen
Carreen is a fictional character from Margaret Mitchell's novel "Gone with the Wind," known as the gentle and devout younger sister of Scarlett O'Hara.
-
E.
Corkscrew Corners
Corkscrew Corners is a themed area within Michigan's Adventure amusement park that features the Shivering Timbers wooden roller coaster and other attractions.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8acc788081909c41905785fa9a29 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.