Triple

T598384
Position Surface form Disambiguated ID Type / Status
Subject Paipai language E11437 entity
Predicate ethnicity P194 FINISHED
Object Paipai
Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
 E74842 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: Paipai | Statement: [Paipai language, ethnicity, Paipai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paipai
Context triple: [Paipai language, ethnicity, Paipai]
  • A. PiTaPa
    PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
  • B. Xintiandi
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • C. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • 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: Paipai
Triple: [Paipai language, ethnicity, Paipai]
Generated description
Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paipai
Target entity description: Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
  • A. PiTaPa
    PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
  • B. Xintiandi
    Xintiandi is a fashionable, pedestrian-only district in central Shanghai known for its upscale shopping, dining, nightlife, and preserved Shikumen-style architecture.
  • C. Paihuano
    Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d776c6c819081b41a9b55041cd5 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f36ab388190a418f6d4ffe91d66 completed March 2, 2026, 5:25 a.m.
NEDg Description generation batch_69a51fed5cf881908565dfb8c798807a completed March 2, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69a5206e05148190a1c8c65bad1a637a completed March 2, 2026, 5:30 a.m.
Created at: March 1, 2026, 7:35 p.m.