Triple

T16305329
Position Surface form Disambiguated ID Type / Status
Subject Gmina Skała E395892 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Skała E402265 NE FINISHED

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: Skała | Statement: [Gmina Skała, hasUrbanCenter, Skała]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skała
Context triple: [Gmina Skała, hasUrbanCenter, Skała]
  • A. Skała chosen
    Skała is a small historic town in southern Poland, located near Kraków and known as a gateway to the scenic Ojców National Park.
  • B. Płaska Skała
    Płaska Skała is one of the notable peaks within the Trzy Korony massif in the Pieniny Mountains of southern Poland.
  • C. Malinowska Skała
    Malinowska Skała is a notable mountain peak in southern Poland, situated within the Silesian Beskids range and popular for its hiking trails and scenic views.
  • D. Pieskowa Skała
    Pieskowa Skała is a historic Renaissance castle in southern Poland, picturesquely situated in the Ojców National Park within the Prądnik River valley.
  • E. Łamana Skała
    Łamana Skała is a mountain peak in the Maków Beskids range in southern Poland, known for its rocky summit and scenic hiking routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003550fc0c8190ba78666da8b3cd81 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:06 a.m.