Triple
T14145006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alps four-thousanders |
E350521
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Roche Faurio
Roche Faurio is a prominent alpine peak in the French Alps, popular with mountaineers for its relatively accessible ascent and panoramic views of the surrounding high mountains.
|
E1081507
|
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: Roche Faurio | Statement: [Alps four-thousanders, hasMember, Roche Faurio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roche Faurio Context triple: [Alps four-thousanders, hasMember, Roche Faurio]
-
A.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
B.
Vaugier
Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
-
C.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
D.
Montagnieu
Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
-
E.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
- 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: Roche Faurio Triple: [Alps four-thousanders, hasMember, Roche Faurio]
Generated description
Roche Faurio is a prominent alpine peak in the French Alps, popular with mountaineers for its relatively accessible ascent and panoramic views of the surrounding high mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roche Faurio Target entity description: Roche Faurio is a prominent alpine peak in the French Alps, popular with mountaineers for its relatively accessible ascent and panoramic views of the surrounding high mountains.
-
A.
Marignier
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
B.
Vaugier
Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
-
C.
Villeroux
Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
D.
Montagnieu
Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
-
E.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61214de081909a5186ff11336f97 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce14c1a488190beb5e3c08e987909 |
completed | May 7, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1a848f081909d96849a14230be1 |
completed | May 7, 2026, 7:02 p.m. |
Created at: April 10, 2026, 12:53 a.m.