Triple

T2746341
Position Surface form Disambiguated ID Type / Status
Subject UL E60877 entity
Predicate identifiesVehiclesRegisteredIn P41345 FINISHED
Object Ulm E9969 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: Ulm | Statement: [UL, identifiesVehiclesRegisteredIn, Ulm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulm
Context triple: [UL, identifiesVehiclesRegisteredIn, Ulm]
  • A. Ulm chosen
    Ulm is a historic city in the German state of Baden-Württemberg, best known for its towering Gothic cathedral and as the birthplace of physicist Albert Einstein.
  • B. Heilbronn
    Heilbronn is a city in the German state of Baden-Württemberg known for its industrial base, wine production, and role as a regional economic and educational hub.
  • C. Augsburg
    Augsburg is one of Germany’s oldest cities, a historic Bavarian center known for its rich Renaissance heritage and role as a major medieval trading hub.
  • D. Neu-Ulm
    Neu-Ulm is a Bavarian town in southern Germany located across the Danube River from the city of Ulm, forming a closely linked urban area with it.
  • E. Günzburg
    Günzburg is a small Bavarian town in southern Germany, historically notable as the birthplace of Nazi physician Josef Mengele.
  • 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: identifiesVehiclesRegisteredIn
Context triple: [UL, identifiesVehiclesRegisteredIn, Ulm]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. numberOfVehicles
    Indicates the total count of vehicles associated with a given entity or context.
  • C. intendedVehicle
    Indicates that one entity is the vehicle that another entity plans or is meant to use.
  • D. relatedVehicle
    Indicates that there exists an associated or connected vehicle that has a relevant relationship to the primary entity.
  • E. hasVehicle
    Indicates that one entity possesses, owns, or is assigned a vehicle.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ed6bc8190876c1d188b97692b completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69bef7d61c988190ae814cef9e726ae6 completed March 21, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:56 p.m.