Triple
T17600679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col d’Aspin |
E428690
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object |
Arbizon
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
|
E1278300
|
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: Arbizon | Statement: [Col d’Aspin, hasNearbyMountain, Arbizon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbizon Context triple: [Col d’Aspin, hasNearbyMountain, Arbizon]
-
A.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
B.
Bessa
Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
-
C.
Charvil
Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
-
D.
Arzier-Le Muids
Arzier-Le Muids is a Swiss municipality in the canton of Vaud, situated in the Jura foothills above Lake Geneva and known for its scenic rural and residential character.
-
E.
Diemaco
Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
- 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: Arbizon Triple: [Col d’Aspin, hasNearbyMountain, Arbizon]
Generated description
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arbizon Target entity description: Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
-
A.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
B.
Bessa
Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
-
C.
Charvil
Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
-
D.
Arzier-Le Muids
Arzier-Le Muids is a Swiss municipality in the canton of Vaud, situated in the Jura foothills above Lake Geneva and known for its scenic rural and residential character.
-
E.
Diemaco
Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c48dfc08190ba360e6082cffa87 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.