Triple

T16178883
Position Surface form Disambiguated ID Type / Status
Subject Esperantists E392635 entity
Predicate organizedIn P8619 FINISHED
Object TEJO E1027623 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: TEJO | Statement: [Esperantists, organizedIn, TEJO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEJO
Context triple: [Esperantists, organizedIn, TEJO]
  • A. TEJO chosen
    TEJO is the international youth organization dedicated to promoting the Esperanto language and fostering cultural exchange among young people worldwide.
  • B. Río Tajo
    Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
  • C. Berlanga de Duero
    Berlanga de Duero is a historic town in the province of Soria, Spain, known for its medieval architecture and cultural heritage.
  • D. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • E. Manzanares
    Manzanares is a municipality in the Spanish region of Castilla-La Mancha, known for its agricultural economy and location in the province of Ciudad Real.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ab3108190a84fc2dfe61d5044 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.