Triple

T8730634
Position Surface form Disambiguated ID Type / Status
Subject Fort Kobbe E207244 entity
Predicate closeTo P350 FINISHED
Object Balboa E209094 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: Balboa | Statement: [Fort Kobbe, closeTo, Balboa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balboa
Context triple: [Fort Kobbe, closeTo, Balboa]
  • A. Balboa chosen
    Balboa was the administrative center and principal town of the former U.S.-controlled Panama Canal Zone, located at the Pacific entrance of the Panama Canal.
  • B. Núñez de Balboa
    Núñez de Balboa is a Madrid Metro station located in the Salamanca district, serving as an interchange between lines 5 and 9.
  • C. Álvaro Núñez de Balboa
    Álvaro Núñez de Balboa was a Spanish nobleman of the late 15th and early 16th centuries, known primarily as the stepson and namesake of the explorer Vasco Núñez de Balboa.
  • D. Vasco Núñez de Balboa
    Vasco Núñez de Balboa was a Spanish explorer and conquistador best known for leading the first European expedition to see the Pacific Ocean from the Americas in 1513.
  • E. Diego de León
    Diego de León is a Madrid Metro station and major interchange hub in the Salamanca district of Madrid, Spain.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42b0f5808190863a1ca3c4e9c8d1 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:37 p.m.