Triple

T1387148
Position Surface form Disambiguated ID Type / Status
Subject Saône-et-Loire E29871 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Autun
Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
E162613 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: Autun | Statement: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Autun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autun
Context triple: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Autun]
  • A. Arrah
    Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
  • B. Wauchope
    Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
  • C. Escalon
    Escalon is a small agricultural city in California’s Central Valley, located in San Joaquin County.
  • D. Loveland
    Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
  • E. Elko
    Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
  • 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: Autun
Triple: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Autun]
Generated description
Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Autun
Target entity description: Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
  • A. Arrah
    Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
  • B. Wauchope
    Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
  • C. Escalon
    Escalon is a small agricultural city in California’s Central Valley, located in San Joaquin County.
  • D. Loveland
    Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
  • E. Elko
    Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33b6e108190b6b2bca4ddd97b6c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56bf6c48190839a9d01c935e4bf completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace5fb515081908acadef0303b8f6e completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace9ba4b3481908d03636d8f72d04c completed March 8, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:59 p.m.