Triple

T6098665
Position Surface form Disambiguated ID Type / Status
Subject Tukang Besi–Bonerate languages E135938 entity
Predicate glottologClassification P6521 FINISHED
Object Tukang_Besi-Bonerate
Tukang_Besi-Bonerate is a subgroup of closely related Austronesian languages spoken in the Tukang Besi and Bonerate island regions of Indonesia.
E569484 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: Tukang_Besi-Bonerate | Statement: [Tukang Besi–Bonerate languages, glottologClassification, Tukang_Besi-Bonerate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tukang_Besi-Bonerate
Context triple: [Tukang Besi–Bonerate languages, glottologClassification, Tukang_Besi-Bonerate]
  • A. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • D. Bikin
    Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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: Tukang_Besi-Bonerate
Triple: [Tukang Besi–Bonerate languages, glottologClassification, Tukang_Besi-Bonerate]
Generated description
Tukang_Besi-Bonerate is a subgroup of closely related Austronesian languages spoken in the Tukang Besi and Bonerate island regions of Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tukang_Besi-Bonerate
Target entity description: Tukang_Besi-Bonerate is a subgroup of closely related Austronesian languages spoken in the Tukang Besi and Bonerate island regions of Indonesia.
  • A. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • D. Bikin
    Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.