Triple

T7412458
Position Surface form Disambiguated ID Type / Status
Subject Rodez E171042 entity
Predicate historicalName P65 FINISHED
Object Ruthena
Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
E662073 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: Ruthena | Statement: [Rodez, historicalName, Ruthena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruthena
Context triple: [Rodez, historicalName, Ruthena]
  • A. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • B. Mende
    Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
  • C. Mende
    The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
  • D. Mende
    Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
  • E. Zemst
    Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
  • 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: Ruthena
Triple: [Rodez, historicalName, Ruthena]
Generated description
Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruthena
Target entity description: Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
  • A. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • B. Mende
    Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
  • C. Mende
    The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
  • D. Mende
    Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
  • E. Zemst
    Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2a027148190bdb6a7940389e377 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8112960d48190a9947146e62daa13 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811f1fe3c8190a591186b19044b5f completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c812c1e9d08190b0e7f052d87011b9 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:11 p.m.