Triple

T8000583
Position Surface form Disambiguated ID Type / Status
Subject Lord Stormont E186237 entity
Predicate servedAsAmbassadorInCity P80255 FINISHED
Object Dresden E37454 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: Dresden | Statement: [Lord Stormont, servedAsAmbassadorInCity, Dresden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dresden
Context triple: [Lord Stormont, servedAsAmbassadorInCity, Dresden]
  • A. 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.
  • B. Dresden chosen
    Dresden is a historic cultural and economic center in eastern Germany, renowned for its baroque architecture, art collections, and reconstruction after World War II.
  • C. Leipzig
    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.
  • D. Chemnitz
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • E. 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.
  • 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: servedAsAmbassadorInCity
Context triple: [Lord Stormont, servedAsAmbassadorInCity, Dresden]
  • A. hasCityRepresented
    Indicates that an entity (such as a representative or organization) is associated with or represents a specific city.
  • B. cityRepresented
    Indicates that one entity serves as the official representative or governing body for a particular city.
  • C. residenceDuringAmbassadorship
    Indicates the place where an individual lives or is based during the period they serve as an ambassador.
  • D. hasCityRole
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • E. capitalCityFlownIn
    Indicates that an entity has traveled by air into the capital city of a specified country or region.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c9b67988190a8a4a2c960017400 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc932b974081908d2cb160a670eb01 completed April 1, 2026, 3:38 a.m.
PD Predicate disambiguation batch_69cb0483d3b48190b250c7603d747bca completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14bbbacc81909c6cf8ec35314bbb completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:17 p.m.