Triple

T19315932
Position Surface form Disambiguated ID Type / Status
Subject Paradiski E483096 entity
Predicate hasVillage P4011 FINISHED
Object Vallandry
Vallandry is a French Alpine ski village that forms part of the large Paradiski ski area linking Les Arcs and La Plagne.
E1369843 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: Vallandry | Statement: [Paradiski, hasVillage, Vallandry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallandry
Context triple: [Paradiski, hasVillage, Vallandry]
  • A. Vendryně
    Vendryně is a village in the Moravian-Silesian Region of the Czech Republic, known for its location in the historical region of Cieszyn Silesia near the Olza River.
  • B. Varilhes
    Varilhes is a small commune in the Ariège department of southwestern France, situated within the Occitanie region.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Revalia
    Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
  • 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: Vallandry
Triple: [Paradiski, hasVillage, Vallandry]
Generated description
Vallandry is a French Alpine ski village that forms part of the large Paradiski ski area linking Les Arcs and La Plagne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vallandry
Target entity description: Vallandry is a French Alpine ski village that forms part of the large Paradiski ski area linking Les Arcs and La Plagne.
  • A. Vendryně
    Vendryně is a village in the Moravian-Silesian Region of the Czech Republic, known for its location in the historical region of Cieszyn Silesia near the Olza River.
  • B. Varilhes
    Varilhes is a small commune in the Ariège department of southwestern France, situated within the Occitanie region.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Revalia
    Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d833034819092a8414d5e0fc26e completed April 20, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071461923081909deb4c114cab2560 completed May 15, 2026, 12:41 p.m.
NEDg Description generation batch_6a0714eb6a0c8190bec7ae8ef785a4ab completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0718ee8adc8190a74685f9783ba5d5 completed May 15, 2026, 1 p.m.
Created at: April 10, 2026, 1:32 p.m.