Triple

T11592977
Position Surface form Disambiguated ID Type / Status
Subject Toa Baja E274929 entity
Predicate borderedBy P224 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: [Toa Baja, borderedBy, Vega Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vega Alta
Context triple: [Toa Baja, borderedBy, 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7146fdd8c8190a54f3290e155e900 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.