Triple

T11208639
Position Surface form Disambiguated ID Type / Status
Subject Puerto Rico Highway 22 E265243 entity
Predicate connects P390 FINISHED
Object Vega Alta E265244 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: Vega Alta | Statement: [Puerto Rico Highway 22, connects, Vega Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vega Alta
Context triple: [Puerto Rico Highway 22, connects, Vega Alta]
  • A. Vega Alta chosen
    Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
  • B. Toroni
    Toroni is a coastal village and popular tourist destination on the Sithonia peninsula in Halkidiki, northern Greece, known for its long sandy beach and ancient historical remains.
  • C. Padrón
    Padrón is a historic town in Galicia, Spain, renowned as a key site in the legend of Saint James and for its famous Padrón peppers.
  • D. Palomas
    Palomas is a small municipality located in the Tierra de Barros comarca of the Extremadura region in western Spain.
  • E. Guamo
    Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d5f8908190903817f84c629ba1 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.