Triple

T19215690
Position Surface form Disambiguated ID Type / Status
Subject Ragamuffin War E480474 entity
Predicate significantPlace P1098 FINISHED
Object Lages NE NERFINISHED

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: Lages | Statement: [Ragamuffin War, significantPlace, Lages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lages
Context triple: [Ragamuffin War, significantPlace, Lages]
  • A. Lages chosen
    Lages is a city in southern Brazil known for its cattle ranching heritage and cool, highland climate.
  • B. Riez
    Riez is a historic village in southeastern France known for its Roman ruins and location amid the lavender fields of the Valensole Plateau.
  • C. Lerse
    Lerse is a supporting character in Johann Wolfgang von Goethe’s play "Götz von Berlichingen," known as a loyal and brave follower of the titular knight.
  • D. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • E. Lugos
    Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3a417c819083e2e276d44d4d89 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.