Triple

T10780488
Position Surface form Disambiguated ID Type / Status
Subject South Goa district E254305 entity
Predicate hasTown P847 FINISHED
Object Canacona
Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
 E886359 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: Canacona | Statement: [South Goa district, hasTown, Canacona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canacona
Context triple: [South Goa district, hasTown, Canacona]
  • A. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • B. Ocós
    Ocós is a coastal municipality in southwestern Guatemala known for its Pacific beaches and fishing activities.
  • C. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • D. Tiriyó
    The Tiriyó are an Indigenous people of the Guiana Shield region, living primarily in the border areas of Brazil and Suriname and known for their distinct Cariban language and forest-based way of life.
  • E. Jucuna
    Jucuna is an alternative name for the Yucuna language, an indigenous Arawakan language spoken in the Amazon region of Colombia.
  • 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: Canacona
Triple: [South Goa district, hasTown, Canacona]
Generated description
Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canacona
Target entity description: Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
  • A. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • B. Ocós
    Ocós is a coastal municipality in southwestern Guatemala known for its Pacific beaches and fishing activities.
  • C. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • D. Tiriyó
    The Tiriyó are an Indigenous people of the Guiana Shield region, living primarily in the border areas of Brazil and Suriname and known for their distinct Cariban language and forest-based way of life.
  • E. Jucuna
    Jucuna is an alternative name for the Yucuna language, an indigenous Arawakan language spoken in the Amazon region of Colombia.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c384bc81908f503f3a2e0503a4 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55fbfc70819098eb40cf0d1b9e8c completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:17 p.m.