Triple

T7408135
Position Surface form Disambiguated ID Type / Status
Subject Sawai language E170931 entity
Predicate hasAlternativeName P39 FINISHED
Object Weda
Weda is an alternative name for the Sawai language, an Austronesian language spoken in parts of eastern Indonesia.
E661512 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: Weda | Statement: [Sawai language, hasAlternativeName, Weda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weda
Context triple: [Sawai language, hasAlternativeName, Weda]
  • A. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • B. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • C. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • D. Shyriiwook
    Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
  • E. Wotho
    Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
  • 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: Weda
Triple: [Sawai language, hasAlternativeName, Weda]
Generated description
Weda is an alternative name for the Sawai language, an Austronesian language spoken in parts of eastern Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weda
Target entity description: Weda is an alternative name for the Sawai language, an Austronesian language spoken in parts of eastern Indonesia.
  • A. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • B. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • C. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • D. Shyriiwook
    Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
  • E. Wotho
    Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f29acf588190a7c4056bdc4f3ffc completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111fcd948190adbe6280df53a916 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c8128aaab08190926a782b379d364f completed March 28, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69c812df0b948190805862c5f176c956 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:10 p.m.