Triple

T12816992
Position Surface form Disambiguated ID Type / Status
Subject Tübingen E306426 entity
Predicate governingBody P46 FINISHED
Object Tübingen city council E611659 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: Tübingen city council | Statement: [Tübingen, governingBody, Tübingen city council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tübingen city council
Context triple: [Tübingen, governingBody, Tübingen city council]
  • A. Tübingen city council chosen
    Tübingen city council is the elected municipal legislative body responsible for setting local policies, budgets, and regulations for the German university town of Tübingen.
  • B. University of Tübingen senate
    The University of Tübingen senate is the institution’s central academic governing body, responsible for major decisions on teaching, research, and university policy.
  • C. Tübingen (district)
    Tübingen (district) is a rural administrative district in the German state of Baden-Württemberg, known for its historic university town of Tübingen and its location in the Neckar River valley.
  • D. Stuttgart Gemeinderat
    Stuttgart Gemeinderat is the city council and central municipal decision-making body of Stuttgart, Germany.
  • E. Tübingen, Germany
    Tübingen, Germany, is a historic university town in the state of Baden-Württemberg known for its medieval old town and renowned Eberhard Karls University.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecee33c8190a6bf045731bb9326 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.