Triple

T5032984
Position Surface form Disambiguated ID Type / Status
Subject Isla Grande de Tierra del Fuego E113349 entity
Predicate hasCity P316 FINISHED
Object Porvenir E50872 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: Porvenir | Statement: [Isla Grande de Tierra del Fuego, hasCity, Porvenir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porvenir
Context triple: [Isla Grande de Tierra del Fuego, hasCity, Porvenir]
  • A. Porvenir chosen
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • B. Porvenir
    Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
  • C. Salcedo
    Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • D. El Porvenir
    El Porvenir is a small Caribbean coastal town in Panama that serves as the administrative center of the indigenous Guna Yala comarca.
  • E. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b68d8c8190b8e04fb406abdb0f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c71b2f081908c5c4c1d9ba1ccf4 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:36 p.m.