Triple

T17241617
Position Surface form Disambiguated ID Type / Status
Subject Mount Singgalang E418510 entity
Predicate nearbyTown P3883 FINISHED
Object Baso
Baso is a town in West Sumatra, Indonesia, situated near Mount Singgalang and known as a local highland community in the Minangkabau region.
 E1258534 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: Baso | Statement: [Mount Singgalang, nearbyTown, Baso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baso
Context triple: [Mount Singgalang, nearbyTown, Baso]
  • A. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • B. Basa
    Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
  • C. Bhaca
    Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
  • D. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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: Baso
Triple: [Mount Singgalang, nearbyTown, Baso]
Generated description
Baso is a town in West Sumatra, Indonesia, situated near Mount Singgalang and known as a local highland community in the Minangkabau region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baso
Target entity description: Baso is a town in West Sumatra, Indonesia, situated near Mount Singgalang and known as a local highland community in the Minangkabau region.
  • A. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • B. Basa
    Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
  • C. Bhaca
    Bhaca are a Xhosa-related ethnic group of South Africa known for their distinct language variety, cultural traditions, and historical chiefdoms in the Eastern Cape region.
  • D. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01718311a48190890c770f571852c8 completed May 11, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a01721f5b9081909a8bc817ba0a5986 completed May 11, 2026, 6:07 a.m.
Created at: April 10, 2026, 5:39 a.m.