Triple

T17572570
Position Surface form Disambiguated ID Type / Status
Subject Île du Ramier E427974 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Empalot
Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
 E1277329 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: Empalot | Statement: [Île du Ramier, hasNeighbourhood, Empalot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Empalot
Context triple: [Île du Ramier, hasNeighbourhood, Empalot]
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Galpu
    Galpu is an Australian Aboriginal Yolŋu language spoken in northeast Arnhem Land, closely related to other Yolŋu Matha varieties.
  • C. Palapye
    Palapye is a rapidly growing town in central Botswana that serves as a key commercial and transport hub along the country’s main north–south corridor.
  • D. Pojulu
    Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
  • E. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • 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: Empalot
Triple: [Île du Ramier, hasNeighbourhood, Empalot]
Generated description
Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Empalot
Target entity description: Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Galpu
    Galpu is an Australian Aboriginal Yolŋu language spoken in northeast Arnhem Land, closely related to other Yolŋu Matha varieties.
  • C. Palapye
    Palapye is a rapidly growing town in central Botswana that serves as a key commercial and transport hub along the country’s main north–south corridor.
  • D. Pojulu
    Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
  • E. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459324aa48190ae23fcae6e8919f8 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde81264819097f7cb7448842eac completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01e246a9c48190b5b728ffb385de31 completed May 11, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01e2d0b7748190b9a179001e7dab94 completed May 11, 2026, 2:08 p.m.
Created at: April 10, 2026, 5:50 a.m.