Triple

T23054482
Position Surface form Disambiguated ID Type / Status
Subject Banggae E574113 entity
Predicate hasAlternativeName P39 FINISHED
Object Banggaai NE NERFINISHED

How this triple was built (2 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: Banggaai | Statement: [Banggae, hasAlternativeName, Banggaai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banggaai
Context triple: [Banggae, hasAlternativeName, Banggaai]
  • A. Banggai chosen
    Banggai is a coastal town and regency seat in Indonesia known for its location in the Banggai Islands off the eastern coast of Central Sulawesi.
  • B. Batan
    Batan is a coastal municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to Capiz.
  • C. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • D. Gadang
    Gadang is an Austronesian language spoken by the Gadang (Gadjang) people, primarily in parts of Papua New Guinea.
  • E. Tayauh
    Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867eaed0819095c7da6b06101b12 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.