Triple

T6688649
Position Surface form Disambiguated ID Type / Status
Subject Aralle-Tabulahan language E152165 entity
Predicate hasDialect P4251 FINISHED
Object Mambi
Mambi is a regional dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
 E610793 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: Mambi | Statement: [Aralle-Tabulahan language, hasDialect, Mambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mambi
Context triple: [Aralle-Tabulahan language, hasDialect, Mambi]
  • A. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • B. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • C. Marpissa
    Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
  • D. Barracuda
    Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
  • E. Barracuda
    Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
  • 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: Mambi
Triple: [Aralle-Tabulahan language, hasDialect, Mambi]
Generated description
Mambi is a regional dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mambi
Target entity description: Mambi is a regional dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • A. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • B. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • C. Marpissa
    Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
  • D. Barracuda
    Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
  • E. Barracuda
    Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14feb28819097bc157df8a2f96e completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b31fa0819089c4debbbbce9d22 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8d27d388190816cfeefbe1519d8 completed March 27, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9729d7881908f3c396690ffcae8 completed March 27, 2026, 9:41 p.m.
Created at: March 27, 2026, 2:04 p.m.