Triple

T7202144
Position Surface form Disambiguated ID Type / Status
Subject Gonesse E168772 entity
Predicate hasDemonym P191 FINISHED
Object Gonessiens
Gonessiens are the inhabitants or natives of Gonesse, a commune in the northeastern suburbs of Paris, France.
E649045 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: Gonessiens | Statement: [Gonesse, hasDemonym, Gonessiens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonessiens
Context triple: [Gonesse, hasDemonym, Gonessiens]
  • A. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • B. Galeatesi
    Galeatesi are the inhabitants or natives of Galeata, a town in the Emilia-Romagna region of Italy.
  • C. Gaddanes
    Gaddanes is an alternative name for the Gaddang language, an Austronesian language spoken by the Gaddang people of northern Luzon in the Philippines.
  • D. Garons
    Garons is a small commune in southern France’s Gard department, situated near the city of Nîmes and known for hosting the Nîmes-Alès-Camargue-Cévennes Airport.
  • E. Galissas
    Galissas is a coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
  • 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: Gonessiens
Triple: [Gonesse, hasDemonym, Gonessiens]
Generated description
Gonessiens are the inhabitants or natives of Gonesse, a commune in the northeastern suburbs of Paris, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gonessiens
Target entity description: Gonessiens are the inhabitants or natives of Gonesse, a commune in the northeastern suburbs of Paris, France.
  • A. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • B. Galeatesi
    Galeatesi are the inhabitants or natives of Galeata, a town in the Emilia-Romagna region of Italy.
  • C. Gaddanes
    Gaddanes is an alternative name for the Gaddang language, an Austronesian language spoken by the Gaddang people of northern Luzon in the Philippines.
  • D. Garons
    Garons is a small commune in southern France’s Gard department, situated near the city of Nîmes and known for hosting the Nîmes-Alès-Camargue-Cévennes Airport.
  • E. Galissas
    Galissas is a coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94a9ee4819086de79fcdfa1836a completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfb0f4688190a677b818a0b3619c completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c09957d881909847e8bf3cf25b92 completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c124c70081909d7df2e5cc6c6cbb completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:52 p.m.