Triple

T21255881
Position Surface form Disambiguated ID Type / Status
Subject South Kuta District E523866 entity
Predicate contains P35 FINISHED
Object Ungasan
Ungasan is a coastal village on the Bukit Peninsula in southern Bali, Indonesia, known for its limestone cliffs, beaches, and growing tourism development.
 E1474798 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: Ungasan | Statement: [South Kuta District, contains, Ungasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ungasan
Context triple: [South Kuta District, contains, Ungasan]
  • A. Ikan
    Ikan is an alternative name for the Ukaan language, a lesser-known Niger-Congo language spoken in parts of Nigeria.
  • B. Peixe
    Peixe is the popular nickname of Brazilian football club Santos FC, reflecting both the club’s coastal roots and its identity in Brazilian football culture.
  • C. Bichir
    Bichir is a Mexican acting family name most prominently associated with acclaimed actor Demián Bichir and his relatives in film and television.
  • D. Lipar
    Lipar is a small settlement located within the municipality of Kula in Serbia.
  • E. Hatsu-uma
    Hatsu-uma is a traditional Japanese festival day in early February dedicated to the deity Inari, marked by shrine visits and rituals for prosperity and good harvests.
  • 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: Ungasan
Triple: [South Kuta District, contains, Ungasan]
Generated description
Ungasan is a coastal village on the Bukit Peninsula in southern Bali, Indonesia, known for its limestone cliffs, beaches, and growing tourism development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ungasan
Target entity description: Ungasan is a coastal village on the Bukit Peninsula in southern Bali, Indonesia, known for its limestone cliffs, beaches, and growing tourism development.
  • A. Ikan
    Ikan is an alternative name for the Ukaan language, a lesser-known Niger-Congo language spoken in parts of Nigeria.
  • B. Peixe
    Peixe is the popular nickname of Brazilian football club Santos FC, reflecting both the club’s coastal roots and its identity in Brazilian football culture.
  • C. Bichir
    Bichir is a Mexican acting family name most prominently associated with acclaimed actor Demián Bichir and his relatives in film and television.
  • D. Lipar
    Lipar is a small settlement located within the municipality of Kula in Serbia.
  • E. Hatsu-uma
    Hatsu-uma is a traditional Japanese festival day in early February dedicated to the deity Inari, marked by shrine visits and rituals for prosperity and good harvests.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a1f9e08190b494f582bcae5c35 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ff8b2f08190b1961558bb9c11fe completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a0990b9b7c8819094f7db294c2e573d completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991cdf6408190a590d8907f2fe880 completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:58 p.m.