Triple

T15649838
Position Surface form Disambiguated ID Type / Status
Subject Blagoi Popov E376280 entity
Predicate trialOccurredIn P119602 FINISHED
Object Leipzig 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 | Statement: [Blagoi Popov, trialOccurredIn, Leipzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipzig
Context triple: [Blagoi Popov, trialOccurredIn, Leipzig]
  • 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. Dresden
    Dresden is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known historically for its role in the Underground Railroad and Black settlement.
  • C. Dresden
    Dresden is a historic cultural and economic center in eastern Germany, renowned for its baroque architecture, art collections, and reconstruction after World War II.
  • D. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • E. Erfurt
    Erfurt is a historic German city in the state of Thuringia, known for its well-preserved medieval old town and as an important cultural and educational center.
  • 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: trialOccurredIn
Context triple: [Blagoi Popov, trialOccurredIn, Leipzig]
  • A. trialName
    Indicates the designated name or title assigned to a specific trial.
  • B. relatedTrial
    Indicates that one trial is associated with another trial, typically through relevance, similarity, or shared context within a broader study or legal/experimental framework.
  • C. trialAfter
    Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
  • D. trialServiceStart
    Indicates the point in time when a trial service or trial period for a service begins.
  • E. trialOperationsBegan
    Indicates that the operational phase of a trial has started.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69deda890140819082608931e993dd61 completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f3016c8190ac68d76e65e07af4 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:15 a.m.