Triple

T4331401
Position Surface form Disambiguated ID Type / Status
Subject Les Abymes E96755 entity
Predicate hasDemonym P191 FINISHED
Object Abymien
An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
 E431082 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: Abymien | Statement: [Les Abymes, hasDemonym, Abymien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abymien
Context triple: [Les Abymes, hasDemonym, Abymien]
  • A. Ameide
    Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
  • B. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • E. Amenia
    Amenia is a small rural town in eastern Dutchess County, New York, known for its scenic Hudson Valley landscapes and historic character.
  • 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: Abymien
Triple: [Les Abymes, hasDemonym, Abymien]
Generated description
An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abymien
Target entity description: An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
  • A. Ameide
    Ameide is a small historic town in the Dutch province of South Holland, known for its location along the Lek River and traditional Dutch architecture.
  • B. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • E. Amenia
    Amenia is a small rural town in eastern Dutchess County, New York, known for its scenic Hudson Valley landscapes and historic character.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514dc588819086a4c6d585c1b5b1 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a307388190af4cb98b03e9656d completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d12a54e0819081379fd1ee85914b completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d194975481908b029ab106223c6c completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:13 p.m.