Triple

T11391217
Position Surface form Disambiguated ID Type / Status
Subject Thiou E269838 entity
Predicate hasNameInLanguage P15 FINISHED
Object Thiou@fr
Thiou@fr is the French-language label for the entity known as Thiou.
 E923168 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: Thiou@fr | Statement: [Thiou, hasNameInLanguage, Thiou@fr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thiou@fr
Context triple: [Thiou, hasNameInLanguage, Thiou@fr]
  • A. La Thielle
    La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
  • B. Wissous
    Wissous is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • C. Isan
    Isan is a culturally distinct and predominantly rural region in northeastern Thailand known for its Lao-influenced language, cuisine, and traditions.
  • D. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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: Thiou@fr
Triple: [Thiou, hasNameInLanguage, Thiou@fr]
Generated description
Thiou@fr is the French-language label for the entity known as Thiou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thiou@fr
Target entity description: Thiou@fr is the French-language label for the entity known as Thiou.
  • A. La Thielle
    La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
  • B. Wissous
    Wissous is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • C. Isan
    Isan is a culturally distinct and predominantly rural region in northeastern Thailand known for its Lao-influenced language, cuisine, and traditions.
  • D. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c8f5ed88190b9cc55c0a73993ec completed April 20, 2026, 2:16 a.m.
NEDg Description generation batch_69e5932d3cb88190807acdcdc3aaa9fc completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a0ab7e081908cb8761c4f82c664 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.