Triple
T8061694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolandseck |
E188136
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rolandswerth |
E451487
|
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: Rolandswerth | Statement: [Rolandseck, locatedNear, Rolandswerth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolandswerth Context triple: [Rolandseck, locatedNear, Rolandswerth]
-
A.
Rolandswerth
chosen
Rolandswerth is a district of the German town of Remagen, situated along the Rhine River in the state of Rhineland-Palatinate.
-
B.
Vaals
Vaals is a Dutch town in the province of Limburg, known for its location at the tripoint where the Netherlands, Germany, and Belgium meet.
-
C.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
D.
Heiligenhaus
Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
-
E.
Oirschot
Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcd7bcc8190b0a629a813846f13 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a1e1de88190a98ce4b6aea1a148 |
completed | April 6, 2026, 3:35 a.m. |
Created at: March 30, 2026, 5:26 p.m.