Triple

T11507615
Position Surface form Disambiguated ID Type / Status
Subject Cauca E272826 entity
Predicate hasCity P316 FINISHED
Object Puerto Tejada E811396 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 Tejada | Statement: [Cauca, hasCity, Puerto Tejada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Tejada
Context triple: [Cauca, hasCity, Puerto Tejada]
  • A. Puerto Tejada chosen
    Puerto Tejada is a Colombian city in the Cauca Department known for its Afro-Colombian cultural heritage and agricultural-based economy.
  • B. Puerto Díaz
    Puerto Díaz is a small lakeside settlement in Nicaragua located near Zapatera Island in Lake Nicaragua.
  • C. Puerto Río Tranquilo
    Puerto Río Tranquilo is a small village in Chilean Patagonia on the shores of General Carrera Lake, known as a gateway to the Marble Caves and nearby Andean glaciers.
  • D. Puerto Galván
    Puerto Galván is a port locality within the Bahía Blanca area of Buenos Aires Province, Argentina, known for its industrial and maritime activities.
  • E. Puerto del Sauce
    Puerto del Sauce is the former name of Fray Bentos, a city in western Uruguay known historically for its meatpacking industry and as a key port on the Uruguay 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db43a648190be859bec2fe9f43b completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624f5c9608190bde28a59860b3c93 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.