Triple

T13057580
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Tunga
Tunga is a small inland municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
E1018121 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: Tunga | Statement: [Northern Leyte, containsCity, Tunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunga
Context triple: [Northern Leyte, containsCity, Tunga]
  • A. Tunga
    Tunga was a pioneering Brazilian contemporary artist known for his enigmatic sculptures, installations, and performances that blended alchemy, mythology, and psychoanalytic themes.
  • B. Tunga River
    The Tunga River is a major river in the Indian state of Karnataka that originates in the Western Ghats and is one of the two headstreams that join to form the Tungabhadra River.
  • C. Kayeli
    Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
  • D. Urera
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • E. Hamma Hamma River
    The Hamma Hamma River is a scenic river in Washington State that flows from the eastern slopes of the Olympic Mountains through forested valleys into Hood Canal.
  • 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: Tunga
Triple: [Northern Leyte, containsCity, Tunga]
Generated description
Tunga is a small inland municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tunga
Target entity description: Tunga is a small inland municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • A. Tunga
    Tunga was a pioneering Brazilian contemporary artist known for his enigmatic sculptures, installations, and performances that blended alchemy, mythology, and psychoanalytic themes.
  • B. Tunga River
    The Tunga River is a major river in the Indian state of Karnataka that originates in the Western Ghats and is one of the two headstreams that join to form the Tungabhadra River.
  • C. Kayeli
    Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
  • D. Urera
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • E. Hamma Hamma River
    The Hamma Hamma River is a scenic river in Washington State that flows from the eastern slopes of the Olympic Mountains through forested valleys into Hood Canal.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce2c7630819091433543dfdf8402 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:58 p.m.