Triple
T5408203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbrian Mountains |
E120945
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Glaramara
Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
|
E517054
|
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: Glaramara | Statement: [Cumbrian Mountains, contains, Glaramara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glaramara Context triple: [Cumbrian Mountains, contains, Glaramara]
-
A.
Magor
Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
-
B.
Thalgau
Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
-
C.
Dagmaer
Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
-
D.
Ferragus
Ferragus is a novel by Honoré de Balzac that forms part of his La Comédie humaine cycle, depicting the secretive underworld and social intrigues of Parisian life.
-
E.
Shining Tor
Shining Tor is a prominent hill in the Peak District of England, known for its panoramic views over the surrounding Derbyshire and Cheshire countryside.
- 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: Glaramara Triple: [Cumbrian Mountains, contains, Glaramara]
Generated description
Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glaramara Target entity description: Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
-
A.
Magor
Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
-
B.
Thalgau
Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
-
C.
Dagmaer
Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
-
D.
Ferragus
Ferragus is a novel by Honoré de Balzac that forms part of his La Comédie humaine cycle, depicting the secretive underworld and social intrigues of Parisian life.
-
E.
Shining Tor
Shining Tor is a prominent hill in the Peak District of England, known for its panoramic views over the surrounding Derbyshire and Cheshire countryside.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8794e0c4819082bebf2da5e41201 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33990f248190841493f0720aa8ee |
completed | March 22, 2026, 12:11 a.m. |
| NEDg | Description generation | batch_69bf345c91588190aea6e50de902b1d2 |
completed | March 22, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34d20d54819086349a656923f6e9 |
completed | March 22, 2026, 12:16 a.m. |
Created at: March 20, 2026, 2:05 p.m.