Triple

T7620192
Position Surface form Disambiguated ID Type / Status
Subject Wysokie Skałki E172471 entity
Predicate alsoKnownAs P39 FINISHED
Object Vysoké skalky E172471 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: Vysoké skalky | Statement: [Wysokie Skałki, alsoKnownAs, Vysoké skalky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vysoké skalky
Context triple: [Wysokie Skałki, alsoKnownAs, Vysoké skalky]
  • A. Wysokie Skałki chosen
    Wysokie Skałki is the highest peak of the Pieniny range in southern Poland, known for its scenic views and popular hiking trails.
  • B. Stolické vrchy
    Stolické vrchy is a mountain range in southern central Slovakia, forming part of the Slovak Ore Mountains and known for its forested highlands and mining history.
  • C. Hohe Marter
    Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
  • D. The Mountain
    The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
  • E. The Mountain
    The Mountain is a 1956 American drama film starring Spencer Tracy and Robert Wagner, centered on two brothers who attempt a perilous climb to a crashed airplane high in the French Alps.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6148a88190be5150313fe23e7b completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8709b93c881909dd4c8a7669279db completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:55 p.m.