Triple

T7314403
Position Surface form Disambiguated ID Type / Status
Subject Admiralty Islands languages E168172 entity
Predicate hasMember P10 FINISHED
Object Seimat language
The Seimat language is an Oceanic Austronesian language spoken primarily on Seimat Island in the western Admiralty Islands of Papua New Guinea.
E655625 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: Seimat language | Statement: [Admiralty Islands languages, hasMember, Seimat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seimat language
Context triple: [Admiralty Islands languages, hasMember, Seimat language]
  • A. Simte language
    The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
  • B. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • C. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Amuesha language
    The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • 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: Seimat language
Triple: [Admiralty Islands languages, hasMember, Seimat language]
Generated description
The Seimat language is an Oceanic Austronesian language spoken primarily on Seimat Island in the western Admiralty Islands of Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seimat language
Target entity description: The Seimat language is an Oceanic Austronesian language spoken primarily on Seimat Island in the western Admiralty Islands of Papua New Guinea.
  • A. Simte language
    The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
  • B. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • C. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Amuesha language
    The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56f4aa0819096d955e2ce298299 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e6bf79d48190a7c30e3513e12070 completed March 28, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7e78b09488190a361bdd50bd28b71 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.