Triple

T7719047
Position Surface form Disambiguated ID Type / Status
Subject Riom E174959 entity
Predicate hasDemonym P191 FINISHED
Object Riomois
Riomois is the French demonym referring to inhabitants of the town of Riom in central France.
 E684540 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: Riomois | Statement: [Riom, hasDemonym, Riomois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riomois
Context triple: [Riom, hasDemonym, Riomois]
  • A. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • B. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • 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: Riomois
Triple: [Riom, hasDemonym, Riomois]
Generated description
Riomois is the French demonym referring to inhabitants of the town of Riom in central France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riomois
Target entity description: Riomois is the French demonym referring to inhabitants of the town of Riom in central France.
  • A. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • B. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ebb7448190ae8d47fe0cbb0907 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b513f7d481908d2ce64d9685289c completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b6f7148081908f699bd5600b6c57 completed March 29, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7590ac08190ae43036828235ca7 completed March 29, 2026, 5:23 a.m.
Created at: March 27, 2026, 4:05 p.m.