Triple

T5519168
Position Surface form Disambiguated ID Type / Status
Subject Limay River E144761 entity
Predicate flowsNear P350 FINISHED
Object Neuquén (city) E481076 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: Neuquén (city) | Statement: [Limay River, flowsNear, Neuquén (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuquén (city)
Context triple: [Limay River, flowsNear, Neuquén (city)]
  • A. Neuquén (city) chosen
    Neuquén is the largest urban center in Argentine Patagonia, an important commercial and cultural hub located at the confluence of the Limay and Neuquén rivers.
  • B. city of Rawson
    The city of Rawson is a coastal urban center in Argentina’s Chubut Province, serving as its capital and lying along the shores of the Atlantic Ocean in northern Patagonia.
  • C. Río Cuarto
    Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
  • D. San Fernando del Valle de Catamarca
    San Fernando del Valle de Catamarca is a historic city in northwestern Argentina, known for its colonial architecture and role as the political and cultural center of Catamarca Province.
  • E. Gualeguaychú
    Gualeguaychú is a city in eastern Argentina known for its vibrant Carnival celebrations and riverside 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.