Triple
T18072268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Königswinter |
E432458
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Heisterbach Abbey ruins |
—
|
NE NERFINISHED |
How this triple was built (3 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: Heisterbach Abbey ruins | Statement: [Königswinter, hasTouristAttraction, Heisterbach Abbey ruins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heisterbach Abbey ruins Context triple: [Königswinter, hasTouristAttraction, Heisterbach Abbey ruins]
-
A.
Eberbach Abbey
Eberbach Abbey is a former Cistercian monastery in Eltville am Rhein, Germany, renowned for its well-preserved medieval architecture and use as a filming location and cultural venue.
-
B.
Deutz Abbey site
Deutz Abbey site is the location of a former Benedictine monastery in the Deutz district of Cologne, Germany, known for its historical and architectural significance.
-
C.
Abbey of Schuttern
The Abbey of Schuttern was a Benedictine monastery in what is now southwestern Germany, notable as a medieval religious and cultural center in the Upper Rhine region.
-
D.
Michaelsberg Abbey
Michaelsberg Abbey is a former Benedictine monastery in Bamberg, Germany, known for its hilltop location, historic architecture, and prominent role in the city’s religious and cultural history.
-
E.
Michaelsberg Abbey
Michaelsberg Abbey is a former Benedictine monastery and prominent historical landmark situated on Michaelsberg hill overlooking the town of Siegburg in Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heisterbach Abbey ruins Target entity description: Heisterbach Abbey ruins are the remains of a former Cistercian monastery near Königswinter in Germany, known for its picturesque, partially preserved church choir set in a wooded valley.
-
A.
Eberbach Abbey
Eberbach Abbey is a former Cistercian monastery in Eltville am Rhein, Germany, renowned for its well-preserved medieval architecture and use as a filming location and cultural venue.
-
B.
Deutz Abbey site
Deutz Abbey site is the location of a former Benedictine monastery in the Deutz district of Cologne, Germany, known for its historical and architectural significance.
-
C.
Abbey of Schuttern
The Abbey of Schuttern was a Benedictine monastery in what is now southwestern Germany, notable as a medieval religious and cultural center in the Upper Rhine region.
-
D.
Michaelsberg Abbey
Michaelsberg Abbey is a former Benedictine monastery in Bamberg, Germany, known for its hilltop location, historic architecture, and prominent role in the city’s religious and cultural history.
-
E.
Michaelsberg Abbey
Michaelsberg Abbey is a former Benedictine monastery and prominent historical landmark situated on Michaelsberg hill overlooking the town of Siegburg in Germany.
- F. None of above. chosen
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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.