Triple
T11391387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Veyrier |
E269845
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object |
Mont Baron
Mont Baron is a mountain in the French Alps overlooking Lake Annecy, popular for hiking and panoramic views of the surrounding region.
|
E923174
|
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: Mont Baron | Statement: [Mont Veyrier, isNear, Mont Baron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Baron Context triple: [Mont Veyrier, isNear, Mont Baron]
-
A.
Glen Moriston
Glen Moriston is a scenic Highland glen in the Scottish Highlands, known for its rugged landscapes, the River Moriston, and its proximity to Loch Ness.
-
B.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Scargo Hill
Scargo Hill is a prominent natural elevation on Cape Cod in Barnstable County, Massachusetts, known for its scenic views and the historic Scargo Tower at its summit.
-
E.
Windmill Hill
Windmill Hill is a residential neighbourhood in the Bedminster area of Bristol, England, known for its hillside streets and views over the city.
- 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: Mont Baron Triple: [Mont Veyrier, isNear, Mont Baron]
Generated description
Mont Baron is a mountain in the French Alps overlooking Lake Annecy, popular for hiking and panoramic views of the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mont Baron Target entity description: Mont Baron is a mountain in the French Alps overlooking Lake Annecy, popular for hiking and panoramic views of the surrounding region.
-
A.
Glen Moriston
Glen Moriston is a scenic Highland glen in the Scottish Highlands, known for its rugged landscapes, the River Moriston, and its proximity to Loch Ness.
-
B.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Scargo Hill
Scargo Hill is a prominent natural elevation on Cape Cod in Barnstable County, Massachusetts, known for its scenic views and the historic Scargo Tower at its summit.
-
E.
Windmill Hill
Windmill Hill is a residential neighbourhood in the Bedminster area of Bristol, England, known for its hillside streets and views over the city.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.