Triple

T23512302
Position Surface form Disambiguated ID Type / Status
Subject Marie Trintignant E572456 entity
Predicate placeOfDeathIncident P64889 FINISHED
Object Vilnius, Lithuania NE NERFINISHED

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: Vilnius, Lithuania | Statement: [Marie Trintignant, placeOfDeathIncident, Vilnius, Lithuania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilnius, Lithuania
Context triple: [Marie Trintignant, placeOfDeathIncident, Vilnius, Lithuania]
  • A. Vilnius chosen
    Vilnius is the capital and largest city of Lithuania, known for its well-preserved medieval Old Town and rich cultural and historical heritage.
  • B. Kaunas
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • C. Zarasai
    Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
  • D. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • E. Statyba Vilnius
    Statyba Vilnius was a prominent basketball club from Vilnius, Lithuania, known for competing in the Soviet and later Lithuanian basketball leagues.
  • 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: placeOfDeathIncident
Context triple: [Marie Trintignant, placeOfDeathIncident, Vilnius, Lithuania]
  • A. placeOfDeath
    Indicates the location where an entity (typically a person or animal) died.
  • B. traditionalPlaceOfDeath
    Indicates the location where a person is customarily or culturally considered to have died, according to traditional or historical accounts.
  • C. placeOfKilling chosen
    Indicates the location where a killing event took place.
  • D. deathCharacteristic
    Indicates a characteristic, attribute, or quality specifically associated with a death event or the manner in which death occurred.
  • E. deathLeadsTo
    Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
  • F. None of above.

Provenance (3 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa7f583881909e78e8fe2e6e25fe completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f0621165c08190a0b27b1319733959 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:07 p.m.