Triple

T16751564
Position Surface form Disambiguated ID Type / Status
Subject Hato Rey E407092 entity
Predicate hasSubdivision P747 FINISHED
Object Hato Rey Central E407092 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: Hato Rey Central | Statement: [Hato Rey, hasSubdivision, Hato Rey Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hato Rey Central
Context triple: [Hato Rey, hasSubdivision, Hato Rey Central]
  • A. Hato Rey chosen
    Hato Rey is a major commercial and financial district of San Juan, Puerto Rico, known for its business centers, banks, and office towers.
  • B. Río Piedras
    Río Piedras is a historic district of San Juan, Puerto Rico, known for housing the main campus of the University of Puerto Rico and serving as an important cultural and commercial center.
  • C. Guaynabo
    Guaynabo is a municipality in Puerto Rico, located near San Juan and known as a suburban commercial and residential hub within the island’s main metropolitan region.
  • D. Hatillo
    Hatillo is a coastal municipality in northwestern Puerto Rico known for its dairy industry and annual Mask Festival (Festival de las Máscaras).
  • E. Hatillo
    Hatillo is an urban district within the canton of San José in Costa Rica, known for its dense residential neighborhoods and proximity to the capital’s downtown area.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf588bc8190adcc512eaa8d91e8 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.