Triple

T6098985
Position Surface form Disambiguated ID Type / Status
Subject Uma language E135946 entity
Predicate glottologName P6521 FINISHED
Object Uma
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
 E569526 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: Uma | Statement: [Uma language, glottologName, Uma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uma
Context triple: [Uma language, glottologName, Uma]
  • A. Mirina
    Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
  • B. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • C. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • D. Anda
    Anda is a coastal municipality on the eastern tip of Bohol Island in the Philippines, known for its white-sand beaches, caves, and relatively undeveloped, laid-back atmosphere.
  • E. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • 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: Uma
Triple: [Uma language, glottologName, Uma]
Generated description
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uma
Target entity description: Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • A. Mirina
    Mirina is a coastal town on the Greek island of Lemnos, serving as its capital and main port in the northern Aegean Sea.
  • B. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • C. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • D. Anda
    Anda is a coastal municipality on the eastern tip of Bohol Island in the Philippines, known for its white-sand beaches, caves, and relatively undeveloped, laid-back atmosphere.
  • E. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • 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.