Triple

T5012196
Position Surface form Disambiguated ID Type / Status
Subject Florentino Ameghino Dam E112648 entity
Predicate locatedInMunicipality P40 FINISHED
Object Gaiman Department E481024 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: Gaiman Department | Statement: [Florentino Ameghino Dam, locatedInMunicipality, Gaiman Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaiman Department
Context triple: [Florentino Ameghino Dam, locatedInMunicipality, Gaiman Department]
  • A. Gaiman Department chosen
    Gaiman Department is an administrative division in Chubut Province, Argentina, known for its Welsh heritage and small rural towns.
  • B. Singine district
    Singine District is an administrative district in the canton of Fribourg in western Switzerland, known for its predominantly German-speaking population within a largely bilingual canton.
  • C. Tinogasta Department
    Tinogasta Department is an administrative division in Catamarca Province, Argentina, known for its arid landscapes, wine production, and Andean cultural heritage.
  • D. Tupe District
    Tupe District is a small Andean district in Peru notable for preserving the indigenous Jaqaru language and traditional highland culture.
  • E. Lunan District
    Lunan District is an urban administrative district within the city of Tangshan in Hebei Province, China.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be926e5ef481909df3a4b9d793300a completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.