Triple

T6763843
Position Surface form Disambiguated ID Type / Status
Subject Tatra County E154663 entity
Predicate hasMajorVillage P2321 FINISHED
Object Poronin E482207 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: Poronin | Statement: [Tatra County, hasMajorVillage, Poronin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poronin
Context triple: [Tatra County, hasMajorVillage, Poronin]
  • A. Poronin chosen
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • B. Parun
    Parun is a small town in eastern Afghanistan that serves as the administrative and political center of Nuristan Province.
  • C. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • D. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • E. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d217bbfc81908c9e55efaf7f8594 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a7b50388190b380f20f0213f0e5 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:12 p.m.