Triple

T6098988
Position Surface form Disambiguated ID Type / Status
Subject Uma language E135946 entity
Predicate alternateName P39 FINISHED
Object Koro Uma
Koro Uma is an alternate name for the Uma language, an Austronesian language spoken in Central Sulawesi, Indonesia.
E569528 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: Koro Uma | Statement: [Uma language, alternateName, Koro Uma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koro Uma
Context triple: [Uma language, alternateName, Koro Uma]
  • A. Ko Poda
    Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Yamaloka
    Yamaloka is the mythological realm of the dead in Hindu and Buddhist cosmology, presided over by the god Yama, where souls undergo judgment after death.
  • E. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • 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: Koro Uma
Triple: [Uma language, alternateName, Koro Uma]
Generated description
Koro Uma is an alternate name for the Uma language, an Austronesian language spoken in Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koro Uma
Target entity description: Koro Uma is an alternate name for the Uma language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • A. Ko Poda
    Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Yamaloka
    Yamaloka is the mythological realm of the dead in Hindu and Buddhist cosmology, presided over by the god Yama, where souls undergo judgment after death.
  • E. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • 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.