Triple
T21369588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žďár nad Sázavou |
E527016
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Châteaudun |
—
|
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: Châteaudun | Statement: [Žďár nad Sázavou, hasTwinTown, Châteaudun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Châteaudun Context triple: [Žďár nad Sázavou, hasTwinTown, Châteaudun]
-
A.
Châteaudun
chosen
Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
-
B.
Beaugency
Beaugency is a historic town in north-central France on the Loire River, known for its medieval architecture and strategic role in the Hundred Years' War.
-
C.
La Châtre
La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
-
D.
Blois
Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
-
E.
Montrichard
Montrichard is a historic town in central France’s Loire Valley, known for its medieval castle, picturesque setting on the Cher River, and traditional regional architecture.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:09 p.m.