Triple

T7314417
Position Surface form Disambiguated ID Type / Status
Subject Admiralty Islands languages E168172 entity
Predicate hasMember P10 FINISHED
Object Harengan language
The Harengan language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
 E655635 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: Harengan language | Statement: [Admiralty Islands languages, hasMember, Harengan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harengan language
Context triple: [Admiralty Islands languages, hasMember, Harengan language]
  • A. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • B. Nachiring language
    Nachiring language is a lesser-known Kiranti language spoken by the Nachiring people in eastern Nepal.
  • C. Ngare language
    The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
  • D. Harsusi language
    Harsusi is a critically endangered Modern South Arabian language spoken by a small community in Oman’s Dhofar region.
  • E. Harari language
    Harari language is a Semitic language of the Ethiosemitic branch spoken primarily by the Harari people in eastern Ethiopia.
  • 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: Harengan language
Triple: [Admiralty Islands languages, hasMember, Harengan language]
Generated description
The Harengan language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harengan language
Target entity description: The Harengan language is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
  • A. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • B. Nachiring language
    Nachiring language is a lesser-known Kiranti language spoken by the Nachiring people in eastern Nepal.
  • C. Ngare language
    The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
  • D. Harsusi language
    Harsusi is a critically endangered Modern South Arabian language spoken by a small community in Oman’s Dhofar region.
  • E. Harari language
    Harari language is a Semitic language of the Ethiosemitic branch spoken primarily by the Harari people in eastern Ethiopia.
  • 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.