Triple

T22325657
Position Surface form Disambiguated ID Type / Status
Subject Perm I railway station E551894 entity
Predicate hasStationCode P1289 FINISHED
Object Perm I 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: Perm I | Statement: [Perm I railway station, hasStationCode, Perm I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perm I
Context triple: [Perm I railway station, hasStationCode, Perm I]
  • A. Perm chosen
    Perm is a major industrial and cultural city in the Ural region of Russia, situated on the Kama River and historically significant as a gateway between European and Asian Russia.
  • B. Permet
    Permet is a small town in southern Albania known for its scenic location along the Vjosa River, thermal springs, and surrounding mountainous landscapes.
  • C. PERM
    PERM is the U.S. Department of Labor’s permanent labor certification process that employers must complete to hire foreign workers for certain employment-based green card categories.
  • D. PERMIS
    PERMIS is the Permanent International Secretariat of the Black Sea Economic Cooperation (BSEC), serving as its main administrative and coordinating body.
  • E. Perm lands
    Perm lands were a historical region in northeastern European Russia inhabited by Finno-Ugric peoples and later incorporated into the expanding Russian state.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15768696481909be124e86c23d551 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.