Triple
T4235975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotte de Bétharram |
E94692
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Bétharram
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
|
E423704
|
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: Bétharram | Statement: [Grotte de Bétharram, near, Bétharram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bétharram Context triple: [Grotte de Bétharram, near, Bétharram]
-
A.
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.
-
B.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
-
C.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
Benrath
Benrath is a German surname most notably associated with the late actor Martin Benrath.
- 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: Bétharram Triple: [Grotte de Bétharram, near, Bétharram]
Generated description
Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bétharram Target entity description: Bétharram is a small locality in southwestern France known as a pilgrimage site and gateway to the famous Grotte de Bétharram cave system.
-
A.
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.
-
B.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
-
C.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
Benrath
Benrath is a German surname most notably associated with the late actor Martin Benrath.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e72ff588190a50c04ab975612dd |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a866c2448190aaed83d8da3669b8 |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a8f374fc8190830286dfadc9bdbb |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a99a4a9c8190a7e9bbc119d8d775 |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.