Triple

T11194743
Position Surface form Disambiguated ID Type / Status
Subject Gießen E264892 entity
Predicate hasTwinTown P919 FINISHED
Object San Juan del Sur E514448 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: San Juan del Sur | Statement: [Gießen, hasTwinTown, San Juan del Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Juan del Sur
Context triple: [Gießen, hasTwinTown, San Juan del Sur]
  • A. San Juan del Sur chosen
    San Juan del Sur is a popular coastal town and surf destination on Nicaragua’s Pacific coast, known for its beaches, tourism, and vibrant nightlife.
  • B. Puerto Villamil
    Puerto Villamil is the main port town and population center on Isabela Island in Ecuador’s Galápagos archipelago, known for its laid-back atmosphere and proximity to diverse wildlife and volcanic landscapes.
  • C. Puerto La Victoria
    Puerto La Victoria is a riverside town in Paraguay situated along the Paraguay River, serving as a local hub for transport and river-based commerce.
  • D. Puerto Nuevo
    Puerto Nuevo is a small lakeside settlement in southern Chile situated on the shores of Ranco Lake.
  • E. Puerto Marqués
    Puerto Marqués is a coastal bay and beach community near Acapulco in the Mexican state of Guerrero, known for its calm waters and tourism.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483f8ecf4819086f0bab3ca9ddcb4 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.