Triple
T9434315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herford |
E227462
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Quimper, France |
E155143
|
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: Quimper, France | Statement: [Herford, hasTwinTown, Quimper, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quimper, France Context triple: [Herford, hasTwinTown, Quimper, France]
-
A.
Quimper
chosen
Quimper is a historic city in western France known for its medieval old town, Gothic cathedral, and traditional Breton culture.
-
B.
Lannion, France
Lannion is a coastal town in Brittany, northwestern France, known as a technology hub and gateway to the Pink Granite Coast.
-
C.
Sochaux, France
Sochaux, France is an industrial town in eastern France best known as the historic home of the Peugeot automobile manufacturing complex.
-
D.
Quimperlé
Quimperlé is a historic town in the Finistère department of Brittany in northwestern France, known for its medieval architecture and picturesque setting at the confluence of three rivers.
-
E.
Roscoff, France
Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104a002481909ca805893bac61c6 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.