Triple

T20540343
Position Surface form Disambiguated ID Type / Status
Subject Penfeld River E504310 entity
Predicate locatedIn P40 FINISHED
Object Brest metropolitan area E53827 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: Brest metropolitan area | Statement: [Penfeld River, locatedIn, Brest metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest metropolitan area
Context triple: [Penfeld River, locatedIn, Brest metropolitan area]
  • A. Brest chosen
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • B. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • C. Brest Region
    Brest Region is an administrative region in southwestern Belarus known for its border location with Poland and Ukraine, agricultural importance, and historical sites including the Brest Fortress.
  • D. Brest District
    Brest District is an administrative district in southwestern Belarus that surrounds and is governed from the city of Brest.
  • E. Liévin
    Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29224f081908298d104161c5bb9 completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb0534908190a73989a0f71e8414 completed May 16, 2026, 6:44 p.m.
Created at: April 16, 2026, 11:37 a.m.