Triple

T19530554
Position Surface form Disambiguated ID Type / Status
Subject Gugak E488641 entity
Predicate hasGenre P14 FINISHED
Object Gasa
Gasa is a traditional Korean poetic song form characterized by long, narrative lyrics typically performed with musical accompaniment.
E1381459 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: Gasa | Statement: [Gugak, hasGenre, Gasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gasa
Context triple: [Gugak, hasGenre, Gasa]
  • A. Gasan
    Gasan is a coastal municipality on the island province of Marinduque in the Philippines, known for its beaches, cultural festivals, and historic churches.
  • B. Gasera
    Gasera is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • D. Gamasa
    Gamasa is a coastal city in Egypt’s Dakahlia Governorate, known for its Mediterranean shoreline and role as a regional urban center.
  • E. Gapsa
    Gapsa is an ancient Buddhist temple in South Korea, renowned as one of the principal temples on Mount Gyeryong.
  • 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: Gasa
Triple: [Gugak, hasGenre, Gasa]
Generated description
Gasa is a traditional Korean poetic song form characterized by long, narrative lyrics typically performed with musical accompaniment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gasa
Target entity description: Gasa is a traditional Korean poetic song form characterized by long, narrative lyrics typically performed with musical accompaniment.
  • A. Gasan
    Gasan is a coastal municipality on the island province of Marinduque in the Philippines, known for its beaches, cultural festivals, and historic churches.
  • B. Gasera
    Gasera is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • D. Gamasa
    Gamasa is a coastal city in Egypt’s Dakahlia Governorate, known for its Mediterranean shoreline and role as a regional urban center.
  • E. Gapsa
    Gapsa is an ancient Buddhist temple in South Korea, renowned as one of the principal temples on Mount Gyeryong.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7b52d88190b0e095ce39d7a003 completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f6d79b88190a0b8442af2be0ed1 completed May 15, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a074fed47bc8190b1a78dcc50345ca4 completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:41 p.m.