Triple

T7250891
Position Surface form Disambiguated ID Type / Status
Subject Moxo language E157596 entity
Predicate alternateName P39 FINISHED
Object Mojo language
Mojo language is an endangered Papuan language spoken in parts of Papua New Guinea, known primarily from limited linguistic documentation.
E651217 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: Mojo language | Statement: [Moxo language, alternateName, Mojo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mojo language
Context triple: [Moxo language, alternateName, Mojo language]
  • A. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • B. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • C. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • D. Mara language
    The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
  • E. Limbo programming language
    Limbo is a concurrent, modular programming language designed at Bell Labs for building distributed systems, notably used in the Inferno operating system.
  • 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: Mojo language
Triple: [Moxo language, alternateName, Mojo language]
Generated description
Mojo language is an endangered Papuan language spoken in parts of Papua New Guinea, known primarily from limited linguistic documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mojo language
Target entity description: Mojo language is an endangered Papuan language spoken in parts of Papua New Guinea, known primarily from limited linguistic documentation.
  • A. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • B. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • C. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • D. Mara language
    The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
  • E. Limbo programming language
    Limbo is a concurrent, modular programming language designed at Bell Labs for building distributed systems, notably used in the Inferno operating system.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea791fec8190aee56ab4503770be completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a7502081909d2a97a60cc445ae completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d4690adc81909abbfb7a756f453d completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d517a7108190893878cbef7d1a3a completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:56 p.m.