Triple
T14647537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viuz-en-Sallaz |
E343890
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Viulane
A Viulane is a resident or native of the French commune of Viuz-en-Sallaz in the Haute-Savoie department.
|
E1111891
|
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: Viulane | Statement: [Viuz-en-Sallaz, hasDemonym, Viulane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viulane Context triple: [Viuz-en-Sallaz, hasDemonym, Viulane]
-
A.
Freirina
Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
-
B.
Virén
Virén is a Finnish surname most famously associated with Olympic long-distance runner Lasse Virén.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Mialet
Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
-
E.
La Val
La Val is a small alpine village and municipality in South Tyrol, northern Italy, known for its Ladin culture and scenic Dolomite mountain landscapes.
- 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: Viulane Triple: [Viuz-en-Sallaz, hasDemonym, Viulane]
Generated description
A Viulane is a resident or native of the French commune of Viuz-en-Sallaz in the Haute-Savoie department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viulane Target entity description: A Viulane is a resident or native of the French commune of Viuz-en-Sallaz in the Haute-Savoie department.
-
A.
Freirina
Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
-
B.
Virén
Virén is a Finnish surname most famously associated with Olympic long-distance runner Lasse Virén.
-
C.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
D.
Mialet
Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
-
E.
La Val
La Val is a small alpine village and municipality in South Tyrol, northern Italy, known for its Ladin culture and scenic Dolomite mountain landscapes.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d7915c8190ae690810110c0b60 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd79da64c8190b6ab426b2808e23f |
completed | May 8, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd85637148190a69211e72b1230d9 |
completed | May 8, 2026, 12:34 p.m. |
Created at: April 10, 2026, 1:26 a.m.