Triple

T16751565
Position Surface form Disambiguated ID Type / Status
Subject Hato Rey E407092 entity
Predicate hasSubdivision P747 FINISHED
Object Hato Rey Sur 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 Sur | Statement: [Hato Rey, hasSubdivision, Hato Rey Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hato Rey Sur
Context triple: [Hato Rey, hasSubdivision, Hato Rey Sur]
  • 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. 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.
  • C. Hatillo
    Hatillo is a coastal municipality in northwestern Puerto Rico known for its dairy industry and annual Mask Festival (Festival de las Máscaras).
  • D. Hato Corozal
    Hato Corozal is a rural municipality in eastern Colombia known for its cattle ranching and llanero (plains) culture within the Casanare Department.
  • E. Hato Viejo
    Hato Viejo is a barrio (district) of the municipality of Arecibo in Puerto Rico, functioning as one of its local administrative and residential communities.
  • 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_6a00b281cce881908c401bca3cf21dfc completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.