Triple

T13356211
Position Surface form Disambiguated ID Type / Status
Subject Bolaang Mongondow Regency E318698 entity
Predicate capital P234 FINISHED
Object Lolak
Lolak is a town in North Sulawesi, Indonesia, serving as the administrative and political center of Bolaang Mongondow Regency.
E1037542 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: Lolak | Statement: [Bolaang Mongondow Regency, capital, Lolak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolak
Context triple: [Bolaang Mongondow Regency, capital, Lolak]
  • A. Lo’ak
    Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
  • B. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • C. Looma
    Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Walatowa
    Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
  • 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: Lolak
Triple: [Bolaang Mongondow Regency, capital, Lolak]
Generated description
Lolak is a town in North Sulawesi, Indonesia, serving as the administrative and political center of Bolaang Mongondow Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lolak
Target entity description: Lolak is a town in North Sulawesi, Indonesia, serving as the administrative and political center of Bolaang Mongondow Regency.
  • A. Lo’ak
    Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
  • B. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • C. Looma
    Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Walatowa
    Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.