Triple

T14791785
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Brioude E347671 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Lorlanges
Lorlanges is a small commune in south-central France, located within the Haute-Loire department.
E1119863 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: Lorlanges | Statement: [Arrondissement of Brioude, containsAdministrativeTerritorialEntity, Lorlanges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorlanges
Context triple: [Arrondissement of Brioude, containsAdministrativeTerritorialEntity, Lorlanges]
  • A. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • B. Arcour
    Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
  • C. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • D. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • E. Parlet
    Parlet was a late-1970s female funk trio formed as an offshoot of George Clinton’s Parliament-Funkadelic collective, known for their soulful vocals and P-Funk sound.
  • 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: Lorlanges
Triple: [Arrondissement of Brioude, containsAdministrativeTerritorialEntity, Lorlanges]
Generated description
Lorlanges is a small commune in south-central France, located within the Haute-Loire department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorlanges
Target entity description: Lorlanges is a small commune in south-central France, located within the Haute-Loire department.
  • A. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • B. Arcour
    Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
  • C. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • D. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • E. Parlet
    Parlet was a late-1970s female funk trio formed as an offshoot of George Clinton’s Parliament-Funkadelic collective, known for their soulful vocals and P-Funk sound.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5d134c819080ee788b2e34163a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bea4408190975f4856cc02580e completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe25969218819090f5a6fa9b8dcbae completed May 8, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fe2616fc688190a126dab0cb1b1892 completed May 8, 2026, 6:06 p.m.
Created at: April 10, 2026, 1:31 a.m.