Triple

T7208255
Position Surface form Disambiguated ID Type / Status
Subject Manggarai language E148729 entity
Predicate hasAlternativeName P39 FINISHED
Object Manggarai
Manggarai is an Austronesian language spoken primarily by the Manggarai people in western Flores, Indonesia.
E648906 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: Manggarai | Statement: [Manggarai language, hasAlternativeName, Manggarai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manggarai
Context triple: [Manggarai language, hasAlternativeName, Manggarai]
  • A. Panglao
    Panglao is a popular island municipality in the Philippines known for its white-sand beaches, diving spots, and tourism-oriented resorts.
  • B. Phuentsholing
    Phuentsholing is a major Bhutanese border town and commercial hub located on the frontier with India, serving as a key gateway into the country.
  • C. Gulmit
    Gulmit is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, known for its traditional Wakhi culture, terraced fields, and views of the surrounding Karakoram peaks.
  • D. Yakawlang
    Yakawlang is a town in Afghanistan’s central highlands that serves as an important local center within the predominantly Hazara-inhabited Hazarajat region.
  • E. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • 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: Manggarai
Triple: [Manggarai language, hasAlternativeName, Manggarai]
Generated description
Manggarai is an Austronesian language spoken primarily by the Manggarai people in western Flores, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manggarai
Target entity description: Manggarai is an Austronesian language spoken primarily by the Manggarai people in western Flores, Indonesia.
  • A. Panglao
    Panglao is a popular island municipality in the Philippines known for its white-sand beaches, diving spots, and tourism-oriented resorts.
  • B. Phuentsholing
    Phuentsholing is a major Bhutanese border town and commercial hub located on the frontier with India, serving as a key gateway into the country.
  • C. Gulmit
    Gulmit is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, known for its traditional Wakhi culture, terraced fields, and views of the surrounding Karakoram peaks.
  • D. Yakawlang
    Yakawlang is a town in Afghanistan’s central highlands that serves as an important local center within the predominantly Hazara-inhabited Hazarajat region.
  • E. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96ae4dc8190b0b9e064ff968c10 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc4e6688190ad9e0d31505e65af completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c05a1f548190914a9b2ba98cbef2 completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c0e6b508819093092e3516a9ec46 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:52 p.m.