Triple

T23049001
Position Surface form Disambiguated ID Type / Status
Subject Premuda E573955 entity
Predicate nearWreck P115718 FINISHED
Object SMS Szent István 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: SMS Szent István | Statement: [Premuda, nearWreck, SMS Szent István]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMS Szent István
Context triple: [Premuda, nearWreck, SMS Szent István]
  • A. SMS Szent István chosen
    SMS Szent István was a Tegetthoff-class dreadnought battleship of the Austro-Hungarian Navy, best known for being sunk by Italian torpedo boats in 1918 during World War I.
  • B. Szenttamás
    Szenttamás is the Hungarian name for the town of Srbobran in northern Serbia, located in the autonomous province of Vojvodina.
  • C. Sebestyén
    Sebestyén is a Hungarian surname most notably borne by architect Artúr Sebestyén.
  • D. Pázmány
    Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
  • E. Szent Jobb
    Szent Jobb is the revered, mummified right hand relic of Hungary’s first king, Saint Stephen, and a major national and religious symbol preserved in Budapest.
  • 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: nearWreck
Context triple: [Premuda, nearWreck, SMS Szent István]
  • A. containsWreck
    Indicates that one entity includes or holds within it the remains or wreckage of another entity.
  • B. wreckStatus
    Indicates the condition or state of damage of an object, typically describing whether and how badly it has been wrecked.
  • C. wreckLocated chosen
    Indicates that the location of a wreck (such as a destroyed vehicle, ship, or structure) is specified or associated with a particular place or area.
  • D. wreckDepth
    Indicates the depth at which a wreck is located below the water surface.
  • E. wreckDiscoveryAgent
    Indicates that an agent discovers or identifies the wreck of something, such as a destroyed vehicle, vessel, or structure.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
PD Predicate disambiguation batch_69ef89d5f71881908b9f9d0c8aab278c completed April 27, 2026, 4:07 p.m.
Created at: April 17, 2026, 3:54 p.m.