Triple

T3085183
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Guayaquil E64353 entity
Predicate borderedBy P224 FINISHED
Object Tumbes Region E305434 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: Tumbes Region | Statement: [Gulf of Guayaquil, borderedBy, Tumbes Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumbes Region
Context triple: [Gulf of Guayaquil, borderedBy, Tumbes Region]
  • A. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • B. Tumbes chosen
    Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
  • C. Lima Province
    Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
  • D. Huánuco Region
    Huánuco Region is an inland administrative region of central Peru known for its Andean landscapes, rich pre-Columbian history, and agricultural production.
  • E. Cajamarca Region
    Cajamarca Region is an administrative region in northern Peru known for its Andean highlands, rich colonial and pre-Columbian history, and significant mining and agricultural activities.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1eac5548190bee60ea8262c65a8 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f4dc9d481908b64d2d2bca0381a completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.