Triple

T11152916
Position Surface form Disambiguated ID Type / Status
Subject Malolos Congress E263831 entity
Predicate vicePresident P147 FINISHED
Object Basa
Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
E908443 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: Basa | Statement: [Malolos Congress, vicePresident, Basa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basa
Context triple: [Malolos Congress, vicePresident, Basa]
  • A. Basaa
    Basaa is a Bantu language spoken primarily by the Basaa people in Cameroon.
  • B. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • C. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • D. Ikalanga
    Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
  • E. Baza
    Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
  • 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: Basa
Triple: [Malolos Congress, vicePresident, Basa]
Generated description
Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Basa
Target entity description: Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
  • A. Basaa
    Basaa is a Bantu language spoken primarily by the Basaa people in Cameroon.
  • B. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • C. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • D. Ikalanga
    Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
  • E. Baza
    Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46334125c81909e2807b2c7e573b9 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:28 p.m.