Triple
T13657777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Arcs |
E326906
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Arc 1600
Arc 1600 is a purpose-built ski resort village in the Les Arcs area of the French Alps, known for its modernist architecture and direct access to extensive ski slopes.
|
E1052587
|
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: Arc 1600 | Statement: [Les Arcs, hasVillage, Arc 1600]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arc 1600 Context triple: [Les Arcs, hasVillage, Arc 1600]
-
A.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
B.
Sans Arc
Sans Arc is one of the traditional bands of the Lakota people, historically known as a distinct subgroup within the larger Sioux Nation.
-
C.
Arc of Infinity
Arc of Infinity is a 1983 Doctor Who serial featuring the Fifth Doctor, notable for its Gallifrey setting and the return of the Time Lord Omega.
-
D.
Storm Arrows
Storm Arrows is a rapid-fire bow ability in Overwatch that lets Hanzo quickly shoot several powerful arrows in succession.
-
E.
ARC2
ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
- 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: Arc 1600 Triple: [Les Arcs, hasVillage, Arc 1600]
Generated description
Arc 1600 is a purpose-built ski resort village in the Les Arcs area of the French Alps, known for its modernist architecture and direct access to extensive ski slopes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arc 1600 Target entity description: Arc 1600 is a purpose-built ski resort village in the Les Arcs area of the French Alps, known for its modernist architecture and direct access to extensive ski slopes.
-
A.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
B.
Sans Arc
Sans Arc is one of the traditional bands of the Lakota people, historically known as a distinct subgroup within the larger Sioux Nation.
-
C.
Arc of Infinity
Arc of Infinity is a 1983 Doctor Who serial featuring the Fifth Doctor, notable for its Gallifrey setting and the return of the Time Lord Omega.
-
D.
Storm Arrows
Storm Arrows is a rapid-fire bow ability in Overwatch that lets Hanzo quickly shoot several powerful arrows in succession.
-
E.
ARC2
ARC2 is a deep learning model architecture designed for efficient and accurate text classification tasks.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b06c5d081909d31b8a537c94edb |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.