Triple

T1539641
Position Surface form Disambiguated ID Type / Status
Subject Mesopotamia (Argentine region) E32834 entity
Predicate majorCity P316 FINISHED
Object Posadas E101951 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: Posadas | Statement: [Mesopotamia (Argentine region), majorCity, Posadas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posadas
Context triple: [Mesopotamia (Argentine region), majorCity, Posadas]
  • A. Posadas chosen
    Posadas is the capital city of Misiones Province in northeastern Argentina, located on the border with Paraguay.
  • B. Bariloche
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • C. Santa Fe, Argentina
    Santa Fe, Argentina is a major river port city and the capital of Santa Fe Province, located in northeastern Argentina along the Paraná and Salado rivers.
  • D. Junín
    Junín is a central highland region of Peru known for its Andean landscapes, rich mining and agricultural activities, and historical role in Peru’s independence.
  • E. Bahía Blanca area
    Bahía Blanca area is a coastal region in southern Buenos Aires Province, Argentina, known for its natural harbor, industrial port facilities, and surrounding lowland landscapes along the Atlantic Ocean.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad468f9a8c8190817910c2955b4338 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:26 p.m.