Triple

T16927633
Position Surface form Disambiguated ID Type / Status
Subject International Transport Forum E410615 entity
Predicate typicalSummitLocation P124780 FINISHED
Object Leipzig, Germany E38199 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: Leipzig, Germany | Statement: [International Transport Forum, typicalSummitLocation, Leipzig, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipzig, Germany
Context triple: [International Transport Forum, typicalSummitLocation, Leipzig, Germany]
  • A. Leipzig chosen
    Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
  • B. Döberitz, Germany
    Döberitz, Germany is a locality historically known for its military airfield and role in early German aviation testing and development.
  • C. Brühl, Germany
    Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
  • D. Linden, Germany
    Linden, Germany is a small town in the state of Hesse known for its historical roots and traditional German character.
  • E. Johnsburg, Germany
    Johnsburg, Germany is a German town that served as the namesake and ancestral origin for many of the settlers of Johnsburg, Illinois.
  • 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: typicalSummitLocation
Context triple: [International Transport Forum, typicalSummitLocation, Leipzig, Germany]
  • A. typicalSummitTarget
    Indicates that something is a usual or characteristic objective or destination associated with reaching a summit.
  • B. nearestSummit
    Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
  • C. typicalSummitActivity
    Indicates an activity that is commonly or characteristically carried out during a summit.
  • D. summitElevation
    Indicates the elevation or height of a summit above a reference level, typically sea level.
  • E. isSummitOf
    Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf3fc3c8190a884f7ecd5c47adb completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdb6b608190af910e225d942d37 completed May 10, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69e32b982f548190b08414d55810de19 completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e32d7aae948190bc238d765795688c completed April 18, 2026, 7:06 a.m.
Created at: April 10, 2026, 5:30 a.m.