Triple
T5600485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottobeuren Abbey church |
E147106
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Ottobeuren
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
|
E533648
|
NE FINISHED |
How this triple was built (4 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: Ottobeuren | Statement: [Ottobeuren Abbey church, locatedIn, Ottobeuren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ottobeuren Context triple: [Ottobeuren Abbey church, locatedIn, Ottobeuren]
-
A.
Sündersbühl
Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
-
B.
Spassburg
Spassburg is the German-themed area of the Six Flags Fiesta Texas amusement park, featuring rides, shops, and architecture inspired by traditional German towns.
-
C.
Malmedy
Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
-
D.
Bétharram
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
-
E.
Lauterach
Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ottobeuren Triple: [Ottobeuren Abbey church, locatedIn, Ottobeuren]
Generated description
Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ottobeuren Target entity description: Ottobeuren is a market town in Bavaria, Germany, best known for its historic Benedictine abbey and impressive Baroque architecture.
-
A.
Sündersbühl
Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
-
B.
Spassburg
Spassburg is the German-themed area of the Six Flags Fiesta Texas amusement park, featuring rides, shops, and architecture inspired by traditional German towns.
-
C.
Malmedy
Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
-
D.
Bétharram
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
-
E.
Lauterach
Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
- F. None of above. chosen
Provenance (5 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02873b1dc8190b11a6c069f3e4f7e |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c035f54f6c8190badbfd800012c399 |
completed | March 22, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036f0edb48190bfa74f7f2c9d9ab1 |
completed | March 22, 2026, 6:37 p.m. |
Created at: March 22, 2026, 3:38 p.m.