Triple

T21422293
Position Surface form Disambiguated ID Type / Status
Subject canton of Lapalisse E528464 entity
Predicate contains P35 FINISHED
Object Liernolles
Liernolles is a small commune in central France, located in the Allier department within the Auvergne-Rhône-Alpes region.
E1482980 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: Liernolles | Statement: [canton of Lapalisse, contains, Liernolles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liernolles
Context triple: [canton of Lapalisse, contains, Liernolles]
  • A. Lissanoure
    Lissanoure is a locality in Northern Ireland situated within the Causeway Coast and Glens area, known for its rural landscape and historic estate surroundings.
  • B. Lanhouarneau
    Lanhouarneau is a small commune in the Finistère department of Brittany in northwestern France, known for its rural character and traditional Breton heritage.
  • C. Lère
    Lère is a small river in southern France that serves as a tributary of the Aveyron River.
  • D. Reilhac
    Reilhac is a small commune in the Cantal department of south-central France, situated within the Auvergne-Rhône-Alpes region.
  • E. Lieusaint
    Lieusaint is a commune in the Île-de-France region of north-central France, known for its residential areas and proximity to major commercial and business zones such as Carré Sénart.
  • 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: Liernolles
Triple: [canton of Lapalisse, contains, Liernolles]
Generated description
Liernolles is a small commune in central France, located in the Allier department within the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liernolles
Target entity description: Liernolles is a small commune in central France, located in the Allier department within the Auvergne-Rhône-Alpes region.
  • A. Lissanoure
    Lissanoure is a locality in Northern Ireland situated within the Causeway Coast and Glens area, known for its rural landscape and historic estate surroundings.
  • B. Lanhouarneau
    Lanhouarneau is a small commune in the Finistère department of Brittany in northwestern France, known for its rural character and traditional Breton heritage.
  • C. Lère
    Lère is a small river in southern France that serves as a tributary of the Aveyron River.
  • D. Reilhac
    Reilhac is a small commune in the Cantal department of south-central France, situated within the Auvergne-Rhône-Alpes region.
  • E. Lieusaint
    Lieusaint is a commune in the Île-de-France region of north-central France, known for its residential areas and proximity to major commercial and business zones such as Carré Sénart.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2d17f5081908f0185011eae3160 completed April 22, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a5a6488190a753c0359d2702f3 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c31840648190bde2d313dd0f02e4 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c361f5b481908f8c5215381a7c98 completed May 17, 2026, 1:32 p.m.
Created at: April 16, 2026, 5:48 p.m.