Triple

T11152931
Position Surface form Disambiguated ID Type / Status
Subject Malolos Congress E263831 entity
Predicate city P40 FINISHED
Object Malolos E385995 NE FINISHED

How this triple was built (2 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: Malolos | Statement: [Malolos Congress, city, Malolos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malolos
Context triple: [Malolos Congress, city, Malolos]
  • A. Malolos chosen
    Malolos is a historic city in the Philippines best known as the birthplace of the First Philippine Republic and the site of the Malolos Congress.
  • B. Paete
    Paete is a lakeside municipality in the Philippine province of Laguna renowned for its skilled woodcarving and papier-mâché artisans.
  • C. Sta. Cruz
    Sta. Cruz is a coastal municipality in the province of Zambales in the Philippines, known for its fishing communities and proximity to the West Philippine Sea.
  • D. Dasmariñas
    Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
  • E. Canlaon
    Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e4835928ac81909ca2addea6fc3b5f completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:28 p.m.