Triple
T15229171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbeville |
E363952
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Vreden |
E604600
|
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: Vreden | Statement: [Abbeville, hasTwinTown, Vreden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vreden Context triple: [Abbeville, hasTwinTown, Vreden]
-
A.
Vreden
chosen
Vreden is a small German town in the western Münsterland region of North Rhine-Westphalia, near the Dutch border.
-
B.
the Peaceful
The Peaceful is the honorific epithet of Edgar, a 10th-century king of England remembered for his stable and harmonious reign.
-
C.
Troost
Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
-
D.
Wereldvrede
Wereldvrede is a lesser-known work by Dutch author Louis Couperus, reflecting his characteristic fin-de-siècle style and psychological depth.
-
E.
Friedensstadt
Friedensstadt is a German city historically renowned as a "City of Peace" for its central role in the Peace of Westphalia that ended the Thirty Years' War.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd39d42881908f2ad47613e23bfa |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.