Triple

T5724030
Position Surface form Disambiguated ID Type / Status
Subject Chubut Province E126216 entity
Predicate contains P35 FINISHED
Object Golfo San Jorge E133752 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: Golfo San Jorge | Statement: [Chubut Province, contains, Golfo San Jorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golfo San Jorge
Context triple: [Chubut Province, contains, Golfo San Jorge]
  • A. Gulf of San Jorge chosen
    The Gulf of San Jorge is a large inlet of the Atlantic Ocean along the Patagonian coast of southern Argentina, known for its rich marine biodiversity and significant offshore oil and gas activity.
  • B. Magé Inlet
    Magé Inlet is a coastal inlet located on the shores of Guanabara Bay in the state of Rio de Janeiro, Brazil.
  • C. Chilecito
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • D. Bahía Vizcaína
    Bahía Vizcaína is a shallow, subtropical lagoon located on the Atlantic coast of South Florida, bordering the city of Miami and known for its marine biodiversity and recreational boating.
  • E. Golfo de Penas
    Golfo de Penas is a large, remote gulf along the southern coast of Chile, characterized by rugged shores, cold Pacific waters, and proximity to the Patagonian fjords and ice fields.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02506d8288190b33bede6c22af773 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a83c88c819097abe565ba010a29 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.