Triple

T9746957
Position Surface form Disambiguated ID Type / Status
Subject Władysławowo E236335 entity
Predicate locatedIn P40 FINISHED
Object Puck County E398046 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: Puck County | Statement: [Władysławowo, locatedIn, Puck County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puck County
Context triple: [Władysławowo, locatedIn, Puck County]
  • A. Puck County chosen
    Puck County is an administrative district in northern Poland’s Pomeranian Voivodeship, located along the Baltic Sea coast and known for its seaside towns and maritime tourism.
  • B. Utena County
    Utena County is an administrative region in northeastern Lithuania known for its lakes, forests, and river landscapes.
  • C. Upton County
    Upton County is a sparsely populated, oil-producing county in western Texas known for its role in the Permian Basin energy region.
  • D. Woods County
    Woods County is a rural county in northwestern Oklahoma known for its agricultural economy and the city of Alva, home to Northwestern Oklahoma State University.
  • E. Steele County
    Steele County is a rural county in eastern North Dakota known for its agricultural landscape and small, close-knit communities.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3ff403c8190892400c6d3257087 completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:23 p.m.