Triple

T3773605
Position Surface form Disambiguated ID Type / Status
Subject STE E83253 entity
Predicate assignedToState P50846 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: [STE, assignedToState, Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bavaria
Context triple: [STE, assignedToState, 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. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. 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.
  • 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: assignedToState
Context triple: [STE, assignedToState, Bavaria]
  • A. assignedTo
    Indicates that responsibility for a task, item, or role has been designated to a specific entity.
  • B. assignedUnder
    Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
  • C. assignedInStandard
    Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
  • D. historicallyAssignedTo
    Indicates that something was associated with or allocated to a particular entity during a past period, but may no longer be so in the present.
  • E. assignedHead
    Indicates that one entity has been designated as the primary leader or person in charge of another entity (such as a group, department, or organization).
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc57c9e48190a0f254e47348bf32 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7446bf88190848eb7ecb0e067bd completed March 14, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69adc050cc5c81909d9855f866f3c26d completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc0fe3e3c8190bd886c7745c172a0 completed March 8, 2026, 6:33 p.m.
Created at: March 8, 2026, 3:36 p.m.