Triple

T18581338
Position Surface form Disambiguated ID Type / Status
Subject Amungme people E454120 entity
Predicate ethnologueCode P5197 FINISHED
Object amu
amu is the ISO 639-3 language code for the Amungme language spoken by the Amungme people of Papua, Indonesia.
 E1331838 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: amu | Statement: [Amungme people, ethnologueCode, amu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: amu
Context triple: [Amungme people, ethnologueCode, amu]
  • A. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • B. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • C. au
    au is a major Japanese mobile phone and telecommunications brand operated by KDDI Corporation.
  • D. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • E. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • 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: amu
Triple: [Amungme people, ethnologueCode, amu]
Generated description
amu is the ISO 639-3 language code for the Amungme language spoken by the Amungme people of Papua, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: amu
Target entity description: amu is the ISO 639-3 language code for the Amungme language spoken by the Amungme people of Papua, Indonesia.
  • A. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • B. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • C. au
    au is a major Japanese mobile phone and telecommunications brand operated by KDDI Corporation.
  • D. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • E. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543cffd34819090d636fd584f51db completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f88f6870819085ebffc7c77e483f completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9fc493881909ba9159748d4f3fb completed May 13, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_6a04fad8daa88190961d643d30a52aa7 completed May 13, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:43 a.m.