Triple

T6115388
Position Surface form Disambiguated ID Type / Status
Subject Pińczów County E136347 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Kije E565903 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: Kije | Statement: [Pińczów County, containsAdministrativeTerritorialEntity, Kije]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kije
Context triple: [Pińczów County, containsAdministrativeTerritorialEntity, Kije]
  • A. Kije chosen
    Kije is a village in south-central Poland that serves as the seat of the rural administrative district Gmina Kije in Świętokrzyskie Voivodeship.
  • B. Kuje
    Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
  • C. Kiche
    Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
  • D. Kaikesi
    Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
  • E. Kile
    Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc246e48190b4f3d52eb682aa45 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256aa9f8819090fdc98343af6f8e completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.