Triple
T16619354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haut-Chablais |
E403781
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bellevaux
Bellevaux is a small commune in the Haute-Savoie department of southeastern France, known for its Alpine scenery and ski and outdoor tourism.
|
E1223952
|
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: Bellevaux | Statement: [Haut-Chablais, hasMember, Bellevaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellevaux Context triple: [Haut-Chablais, hasMember, Bellevaux]
-
A.
House of Taillefer
The House of Taillefer was a medieval noble dynasty that ruled the County of Angoulême in southwestern France for several centuries.
-
B.
Dorincourt
Dorincourt is the aristocratic family name borne by the fictional Earl in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy."
-
C.
Champagne Castle
Champagne Castle is a prominent mountain peak in South Africa’s Drakensberg range, known for its dramatic cliffs and popular hiking routes.
-
D.
Elincourt
Elincourt is a small commune in northern France, situated within the administrative area of the Nord department.
-
E.
House of Dampierre
The House of Dampierre was a prominent medieval noble family that held significant territories and influence in the Low Countries, notably in Flanders and surrounding regions.
- 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: Bellevaux Triple: [Haut-Chablais, hasMember, Bellevaux]
Generated description
Bellevaux is a small commune in the Haute-Savoie department of southeastern France, known for its Alpine scenery and ski and outdoor tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellevaux Target entity description: Bellevaux is a small commune in the Haute-Savoie department of southeastern France, known for its Alpine scenery and ski and outdoor tourism.
-
A.
House of Taillefer
The House of Taillefer was a medieval noble dynasty that ruled the County of Angoulême in southwestern France for several centuries.
-
B.
Dorincourt
Dorincourt is the aristocratic family name borne by the fictional Earl in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy."
-
C.
Champagne Castle
Champagne Castle is a prominent mountain peak in South Africa’s Drakensberg range, known for its dramatic cliffs and popular hiking routes.
-
D.
Elincourt
Elincourt is a small commune in northern France, situated within the administrative area of the Nord department.
-
E.
House of Dampierre
The House of Dampierre was a prominent medieval noble family that held significant territories and influence in the Low Countries, notably in Flanders and surrounding regions.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.