Triple

T8941913
Position Surface form Disambiguated ID Type / Status
Subject Carl Lutz E212921 entity
Predicate residenceDuringWar P46494 FINISHED
Object Budapest E13406 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: Budapest | Statement: [Carl Lutz, residenceDuringWar, Budapest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budapest
Context triple: [Carl Lutz, residenceDuringWar, Budapest]
  • A. Budapest chosen
    Budapest is the capital and largest city of Hungary, renowned for its historic architecture, thermal baths, and prominent location along the Danube River.
  • B. Siófok
    Siófok is a popular resort town on the southern shore of Lake Balaton in Hungary, known for its beaches and vibrant summer tourism.
  • C. Budaörs
    Budaörs is a suburban town near Budapest in Hungary, known for its rapid post-communist development and role as a commercial and residential hub.
  • D. Győr
    Győr is a historic city in northwestern Hungary, known as an important regional cultural and economic center at the confluence of the Danube, Rába, and Rábca rivers.
  • E. Pozsony
    Pozsony is the historical Hungarian name for the city now known as Bratislava, the capital of Slovakia.
  • 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: residenceDuringWar
Context triple: [Carl Lutz, residenceDuringWar, Budapest]
  • A. residenceDuringLife
    Indicates that an entity lived or resided in a particular place during some period of its lifetime.
  • B. exileLocationDuringWorldWarII
    Indicates the place where an entity was in exile specifically during World War II.
  • C. wartimeLocation chosen
    Indicates the location where an entity is situated or operates during a period of war or armed conflict.
  • D. homeBaseDuringWWII
    Indicates the location that served as an entity’s primary base of operations during World War II.
  • E. residenceDuringEvent
    Indicates that an entity resides or is located at a particular place for the duration of a specified event.
  • F. None of above.

Provenance (4 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeae6b0b08190beb13109ba589d81 completed April 3, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69cc5ed5267c8190a43feb2a2f3df1ec completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 6:58 p.m.