Triple

T16445688
Position Surface form Disambiguated ID Type / Status
Subject Caussade E399417 entity
Predicate river P165 FINISHED
Object Lère
Lère is a small river in southern France that serves as a tributary of the Aveyron River.
 E1214485 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: Lère | Statement: [Caussade, river, Lère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lère
Context triple: [Caussade, river, Lère]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • C. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • D. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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: Lère
Triple: [Caussade, river, Lère]
Generated description
Lère is a small river in southern France that serves as a tributary of the Aveyron River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lère
Target entity description: Lère is a small river in southern France that serves as a tributary of the Aveyron River.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • C. Méautis
    Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
  • D. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • E. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050751be48190a76ab998b544ac5a completed May 10, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0050d99f7c81909a5d5582294790f7 completed May 10, 2026, 9:33 a.m.
Created at: April 10, 2026, 5:10 a.m.