Triple

T16347654
Position Surface form Disambiguated ID Type / Status
Subject Magallanes and Chilean Antarctic Region E396974 entity
Predicate includesCity P3207 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: [Magallanes and Chilean Antarctic Region, includesCity, Porvenir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porvenir
Context triple: [Magallanes and Chilean Antarctic Region, includesCity, 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. Niquero
    Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
  • D. Prestea
    Prestea is a mining town in southwestern Ghana known for its significant gold deposits and long history of gold extraction.
  • E. Guandacol
    Guandacol is a small town in northwestern Argentina, located in La Rioja Province and known for its arid landscapes and nearby paleontological sites.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.