Triple

T17682136
Position Surface form Disambiguated ID Type / Status
Subject Lumley Lyster E440794 entity
Predicate placeOfActivity P1527 FINISHED
Object Taranto, Italy NE NERFINISHED

How this triple was built (2 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: Taranto, Italy | Statement: [Lumley Lyster, placeOfActivity, Taranto, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taranto, Italy
Context triple: [Lumley Lyster, placeOfActivity, Taranto, Italy]
  • A. Gioia del Colle, Italy
    Gioia del Colle is a town in the Apulia region of southern Italy, known for its historic castle, wine production, and strategic location between Bari and Taranto.
  • B. Cosenza, Italy
    Cosenza is a historic city in the Calabria region of southern Italy, known for its medieval old town, cultural heritage, and role as a regional economic and educational center.
  • C. Taranto chosen
    Taranto is a historic coastal city in southern Italy known as a major naval and commercial hub and for its strategic position on the Gulf of Taranto.
  • D. Formia, Italy
    Formia is a coastal town in the Lazio region of central Italy, known for its ancient Roman heritage and scenic location along the Gulf of Gaeta.
  • E. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704514d481908aad4172fa930e6b completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.