Triple

T6564545
Position Surface form Disambiguated ID Type / Status
Subject Apma E153868 entity
Predicate hasAlternativeName P39 FINISHED
Object Abma
Abma is an Oceanic language spoken in central Vanuatu, particularly on the island of Pentecost.
E603802 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: Abma | Statement: [Apma, hasAlternativeName, Abma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abma
Context triple: [Apma, hasAlternativeName, Abma]
  • A. Abymien
    An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
  • B. Amed
    Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
  • C. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • D. Abbenes
    Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • E. Ammer
    The Ammer is a river in Bavaria, Germany, known for flowing through the Ammergau Alps and feeding the Ammersee.
  • 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: Abma
Triple: [Apma, hasAlternativeName, Abma]
Generated description
Abma is an Oceanic language spoken in central Vanuatu, particularly on the island of Pentecost.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abma
Target entity description: Abma is an Oceanic language spoken in central Vanuatu, particularly on the island of Pentecost.
  • A. Abymien
    An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
  • B. Amed
    Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
  • C. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • D. Abbenes
    Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • E. Ammer
    The Ammer is a river in Bavaria, Germany, known for flowing through the Ammergau Alps and feeding the Ammersee.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d828620081909c1b4dfaa96efd62 completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8a3d194819080f33e179a8a8679 completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 1:52 p.m.