Triple

T7774731
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Medio Antioquia E179162 entity
Predicate hasMainCity P3940 FINISHED
Object Puerto Berrío E666072 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 Berrío | Statement: [Magdalena Medio Antioquia, hasMainCity, Puerto Berrío]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Berrío
Context triple: [Magdalena Medio Antioquia, hasMainCity, Puerto Berrío]
  • A. Puerto Berrío chosen
    Puerto Berrío is a river port town in the Antioquia Department of Colombia, historically important as a transportation and commercial hub in the Magdalena River valley.
  • B. Barrancabermeja
    Barrancabermeja is a Colombian city known as a major oil refining and petrochemical center located along the Magdalena River.
  • C. Cúcuta
    Cúcuta is a major Colombian city on the border with Venezuela, known as an important commercial and transportation hub in the northeast of the country.
  • D. Yopal
    Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
  • E. Montería
    Montería is a major Colombian city known as the capital of Córdoba Department, recognized for its cattle ranching economy and location along the Sinú River.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046331e0819080ec1a5c23c27cd7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c963e3a3e0819092c6c7dd0dc82e7d completed March 29, 2026, 5:39 p.m.
Created at: March 27, 2026, 4:11 p.m.