Triple

T3295712
Position Surface form Disambiguated ID Type / Status
Subject Rysy E69209 entity
Predicate touristRouteFrom P24031 FINISHED
Object Morskie Oko E68467 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: Morskie Oko | Statement: [Rysy, touristRouteFrom, Morskie Oko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morskie Oko
Context triple: [Rysy, touristRouteFrom, Morskie Oko]
  • A. Morskie Oko chosen
    Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
  • B. Perekop Bay
    Perekop Bay is a shallow inlet of the Black Sea located along the northern coast of Crimea, near the Isthmus of Perekop.
  • C. Zalewo
    Zalewo is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship known for its lakes and natural landscapes.
  • D. Kraljevica
    Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
  • E. Savo
    Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
  • 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: touristRouteFrom
Context triple: [Rysy, touristRouteFrom, Morskie Oko]
  • A. hasTouristRoute
    Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
  • B. popularRouteFrom chosen
    Indicates a frequently chosen or well-traveled route that starts from a given origin location.
  • C. pilgrimageRouteTo
    Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
  • D. journeyFrom
    Indicates that an entity undertakes or originates a journey starting from a specified location or source.
  • E. touristGatewayTo
    Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ada42407dc81909f60d7a14e1b7934 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:10 p.m.