Triple

T15157521
Position Surface form Disambiguated ID Type / Status
Subject Barbacoan languages E362116 entity
Predicate hasMember P10 FINISHED
Object Coconuco
Coconuco is an indigenous language of Colombia belonging to the Barbacoan language family.
 E1140403 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: Coconuco | Statement: [Barbacoan languages, hasMember, Coconuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coconuco
Context triple: [Barbacoan languages, hasMember, Coconuco]
  • A. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Olmué
    Olmué is a small town in Chile’s Valparaíso Region known for its rural charm, traditional festivals, and proximity to the coastal range and natural attractions.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • 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: Coconuco
Triple: [Barbacoan languages, hasMember, Coconuco]
Generated description
Coconuco is an indigenous language of Colombia belonging to the Barbacoan language family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coconuco
Target entity description: Coconuco is an indigenous language of Colombia belonging to the Barbacoan language family.
  • A. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Olmué
    Olmué is a small town in Chile’s Valparaíso Region known for its rural charm, traditional festivals, and proximity to the coastal range and natural attractions.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060c62b08190bcdbd912d011d1ba completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff87b6c819097f5cc99b2d75fb6 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1c2ce5c81909e2df69e4cf80344 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec25d50548190a056d6bb1297e780 completed May 9, 2026, 5:13 a.m.
Created at: April 10, 2026, 3:08 a.m.