Triple

T8981618
Position Surface form Disambiguated ID Type / Status
Subject Caloocan E214542 entity
Predicate borders P224 FINISHED
Object Valenzuela E179693 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: Valenzuela | Statement: [Caloocan, borders, Valenzuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valenzuela
Context triple: [Caloocan, borders, Valenzuela]
  • A. Valenzuela chosen
    Valenzuela is a Spanish-language surname borne by various notable individuals, including athletes, politicians, and artists, and is also the name of several places in the Spanish-speaking world.
  • B. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • C. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • D. San Andrés y Sauces
    San Andrés y Sauces is a coastal municipality on the northeastern side of the island of La Palma in Spain’s Canary Islands, known for its lush landscapes and banana plantations.
  • E. Tocumen
    Tocumen is a town in Panama City’s eastern outskirts best known for hosting Panama’s main international airport and serving as a key gateway to Central and South America.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb8de5e081909cce650a0b299e85 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:03 p.m.