Triple

T7036127
Position Surface form Disambiguated ID Type / Status
Subject Biobío Province E163388 entity
Predicate containsCity P294 FINISHED
Object Yumbel E107722 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: Yumbel | Statement: [Biobío Province, containsCity, Yumbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yumbel
Context triple: [Biobío Province, containsCity, Yumbel]
  • A. Yumbel chosen
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • B. Tacna
    Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • C. Chepica
    Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
  • D. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • E. Loncoche
    Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a211f88190afe5ed466abcac7a completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.