Triple

T14843926
Position Surface form Disambiguated ID Type / Status
Subject Picard E349035 entity
Predicate alsoKnownAs P39 FINISHED
Object Rouchi
Rouchi is a regional Romance dialect of northern France, closely related to Picard and traditionally spoken in parts of French Flanders and the Nord–Pas-de-Calais region.
 E1123220 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: Rouchi | Statement: [Picard, alsoKnownAs, Rouchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rouchi
Context triple: [Picard, alsoKnownAs, Rouchi]
  • A. Bouyon
    Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
  • B. Nanbu
    Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
  • C. Enchin
    Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
  • D. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • E. Hofu
    Hofu is a coastal city in western Honshu, Japan, known for its historic Hofu Tenmangu Shrine and industrial manufacturing base.
  • 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: Rouchi
Triple: [Picard, alsoKnownAs, Rouchi]
Generated description
Rouchi is a regional Romance dialect of northern France, closely related to Picard and traditionally spoken in parts of French Flanders and the Nord–Pas-de-Calais region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rouchi
Target entity description: Rouchi is a regional Romance dialect of northern France, closely related to Picard and traditionally spoken in parts of French Flanders and the Nord–Pas-de-Calais region.
  • A. Bouyon
    Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
  • B. Nanbu
    Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
  • C. Enchin
    Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
  • D. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • E. Hofu
    Hofu is a coastal city in western Honshu, Japan, known for its historic Hofu Tenmangu Shrine and industrial manufacturing base.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe660250ec819084aed06983e0df06 completed May 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe667bed5c81909832d09228595533 completed May 8, 2026, 10:41 p.m.
Created at: April 10, 2026, 1:53 a.m.