Triple

T414799
Position Surface form Disambiguated ID Type / Status
Subject 1972 Summer Olympics E9567 entity
Predicate tookPlaceInState P14577 FINISHED
Object Bavaria E7752 NE FINISHED

How this triple was built (3 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: Bavaria | Statement: [1972 Summer Olympics, tookPlaceInState, Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria
Context triple: [1972 Summer Olympics, tookPlaceInState, Bavaria]
  • A. Bavaria chosen
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Swabia (Bavaria)
    Swabia (Bavaria) is an administrative region in southwestern Bavaria, Germany, known for its distinct Swabian cultural heritage and mix of industrial cities and rural landscapes.
  • C. Saxony
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • D. Saarland
    Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
  • E. Baden-Württemberg
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookPlaceInState
Context triple: [1972 Summer Olympics, tookPlaceInState, Bavaria]
  • A. conventionState
    Indicates that an entity is in a particular formal status or phase within a convention or agreed procedural framework.
  • B. wasStateCapitalOf
    Indicates that a city previously served as the official capital of a specified state or equivalent political region.
  • C. homeState
    Indicates that a person or organization has their primary residence, registration, or official base in a particular state.
  • D. stateOrTerritory
    Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
  • E. states
    Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
  • F. None of above. chosen

Provenance (5 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566fab12081909a793dedc8110009 completed March 2, 2026, 10:31 a.m.
PD Predicate disambiguation batch_69a2edcff4688190809d83d112ff25a5 completed Feb. 28, 2026, 1:29 p.m.
PDg Predicate description generation batch_69a2eeb8545c8190a2b8517e7ed5b92e completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.