Triple

T8878533
Position Surface form Disambiguated ID Type / Status
Subject Valencia (Venezuela) E211349 entity
Predicate nearbyPort P5648 FINISHED
Object Puerto Cabello E182608 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: Puerto Cabello | Statement: [Valencia (Venezuela), nearbyPort, Puerto Cabello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Cabello
Context triple: [Valencia (Venezuela), nearbyPort, Puerto Cabello]
  • A. Puerto Cabello chosen
    Puerto Cabello is a major port city on Venezuela’s Caribbean coast, historically important for trade and naval activity.
  • B. Maracay
    Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
  • C. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • D. Barquisimeto
    Barquisimeto is a major city in western Venezuela known as a commercial and cultural center, often called the "Musical City" for its rich musical traditions.
  • E. Maracaibo
    Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabb87c3481908cf11f2e246f42eb completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.