Triple
T7606256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roer |
E180110
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Düren |
E466244
|
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: Düren | Statement: [Roer, flowsNear, Düren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Düren Context triple: [Roer, flowsNear, Düren]
-
A.
Düren
chosen
Düren is a town in western Germany’s North Rhine-Westphalia, known as an industrial center situated between Cologne and Aachen.
-
B.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
C.
Derince
Derince is an industrial and port city located on the Sea of Marmara in northwestern Turkey.
-
D.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
E.
Dorud
Dorud is a city in western Iran’s Lorestan Province, known as a regional rail junction and gateway to the surrounding Zagros mountain landscapes.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86857db14819086d5ebd825d30e77 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.