Triple

T9779849
Position Surface form Disambiguated ID Type / Status
Subject Puerto Rico Highway 30 E237338 entity
Predicate connectsMunicipality P4245 FINISHED
Object Gurabo E57101 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: Gurabo | Statement: [Puerto Rico Highway 30, connectsMunicipality, Gurabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurabo
Context triple: [Puerto Rico Highway 30, connectsMunicipality, Gurabo]
  • A. Gurabo chosen
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • B. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • C. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • D. Guateque
    Guateque is a small Colombian town known as a commercial and agricultural center in the eastern region of the Boyacá Department.
  • E. San Ricardo
    San Ricardo is a coastal municipality in the province of Southern Leyte in the Philippines, known as a gateway to Mindanao via its roll-on/roll-off ferry port.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.