Triple

T2449912
Position Surface form Disambiguated ID Type / Status
Subject University of the Philippines E53677 entity
Predicate cityServed P82 FINISHED
Object Los Baños E201090 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: Los Baños | Statement: [University of the Philippines, cityServed, Los Baños]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Baños
Context triple: [University of the Philippines, cityServed, Los Baños]
  • A. Los Baños chosen
    Los Baños is a municipality in the Philippines known as a major center for agricultural research and education, particularly in rice science.
  • B. San Juan de Baños
    San Juan de Baños is one of the oldest surviving churches in Spain, a 7th-century Visigothic basilica renowned for its early medieval architecture and historical significance.
  • C. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • D. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • E. Las Piñas
    Las Piñas is a highly urbanized city in the southern part of Metro Manila in the Philippines, known for its residential communities and the historic Bamboo Organ.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f2b8488190b1f6a86f0a9f83aa completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c2a7b08190beb27f6a83208e5c completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.