Triple

T12752865
Position Surface form Disambiguated ID Type / Status
Subject La Paz Municipality E304778 entity
Predicate borders P224 FINISHED
Object Loreto Municipality E303513 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: Loreto Municipality | Statement: [La Paz Municipality, borders, Loreto Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loreto Municipality
Context triple: [La Paz Municipality, borders, Loreto Municipality]
  • A. Loreto Municipality chosen
    Loreto Municipality is an administrative region in the Mexican state of Baja California Sur, known for its coastal location on the Gulf of California and its historic town of Loreto.
  • B. Benítez Municipality
    Benítez Municipality is an administrative division located within Sucre State in northeastern Venezuela.
  • C. Cueto Municipality
    Cueto Municipality is an administrative division in Holguín Province, Cuba, known for encompassing the rural village of Birán, the birthplace of Fidel Castro.
  • D. Ruíz Municipality
    Ruíz Municipality is an administrative region in the Mexican state of Nayarit, known for its rural communities and agricultural-based local economy.
  • E. Montero Municipality
    Montero Municipality is an administrative municipality located in the Santa Cruz Department of Bolivia, known for its agricultural activity and growing urban center.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b8e89cc8190ac97b13d9d409179 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:27 p.m.