Triple

T17992551
Position Surface form Disambiguated ID Type / Status
Subject Madona Municipality E430411 entity
Predicate contains P35 FINISHED
Object Lubāna
Lubāna is a small town in eastern Latvia known for its proximity to the Lubāns Lake and surrounding wetlands.
 E1300807 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: Lubāna | Statement: [Madona Municipality, contains, Lubāna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lubāna
Context triple: [Madona Municipality, contains, Lubāna]
  • A. The Lebanon
    "The Lebanon" is a politically charged 1984 synth-pop song by British band The Human League that comments on the Lebanese Civil War.
  • B. Lebanon
    Lebanon is a small Middle Eastern country on the eastern shore of the Mediterranean Sea, known for its rich history, diverse religious and cultural heritage, and historic capital, Beirut.
  • C. Lebanon
    Lebanon is a small city in central Indiana, United States, serving as the county seat of Boone County and part of the greater Indianapolis metropolitan region.
  • D. Lebanon
    Lebanon is a small city in central Tennessee known as the home of Cumberland University and the headquarters of the Cracker Barrel restaurant chain.
  • E. Lebanika Qarase
    Lebanika Qarase is best known as the wife of former Fijian Prime Minister Laisenia Qarase.
  • 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: Lubāna
Triple: [Madona Municipality, contains, Lubāna]
Generated description
Lubāna is a small town in eastern Latvia known for its proximity to the Lubāns Lake and surrounding wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lubāna
Target entity description: Lubāna is a small town in eastern Latvia known for its proximity to the Lubāns Lake and surrounding wetlands.
  • A. The Lebanon
    "The Lebanon" is a politically charged 1984 synth-pop song by British band The Human League that comments on the Lebanese Civil War.
  • B. Lebanon
    Lebanon is a small Middle Eastern country on the eastern shore of the Mediterranean Sea, known for its rich history, diverse religious and cultural heritage, and historic capital, Beirut.
  • C. Lebanon
    Lebanon is a small city in central Indiana, United States, serving as the county seat of Boone County and part of the greater Indianapolis metropolitan region.
  • D. Lebanon
    Lebanon is a small city in central Tennessee known as the home of Cumberland University and the headquarters of the Cracker Barrel restaurant chain.
  • E. Lebanika Qarase
    Lebanika Qarase is best known as the wife of former Fijian Prime Minister Laisenia Qarase.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2a0f8588190b6090c7cce60a35f completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0343198754819082158f30af479750 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a0344692a2c8190b8c81f01b0b5e8b1 completed May 12, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0344c4ed388190b450ae11fc1c82c9 completed May 12, 2026, 3:18 p.m.
Created at: April 10, 2026, 10:23 a.m.