Triple

T9192328
Position Surface form Disambiguated ID Type / Status
Subject Katuic E220619 entity
Predicate hasLanguage P15 FINISHED
Object Pacoh
Pacoh is an Austroasiatic language spoken by the Pacoh people of Laos and central Vietnam, closely related to other Katuic languages.
 E783486 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: Pacoh | Statement: [Katuic, hasLanguage, Pacoh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pacoh
Context triple: [Katuic, hasLanguage, Pacoh]
  • A. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • B. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Polae
    Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
  • E. Wapichan
    Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • 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: Pacoh
Triple: [Katuic, hasLanguage, Pacoh]
Generated description
Pacoh is an Austroasiatic language spoken by the Pacoh people of Laos and central Vietnam, closely related to other Katuic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pacoh
Target entity description: Pacoh is an Austroasiatic language spoken by the Pacoh people of Laos and central Vietnam, closely related to other Katuic languages.
  • A. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • B. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Polae
    Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
  • E. Wapichan
    Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d4ec9d48190bb425fe0449f4bf2 completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05dde94f08190aec82aa680ca0dce completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.