Triple

T2647983
Position Surface form Disambiguated ID Type / Status
Subject Brest E53827 entity
Predicate isSeatOf P62 FINISHED
Object Brest arrondissement 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 arrondissement | Statement: [Brest, isSeatOf, Brest arrondissement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest arrondissement
Context triple: [Brest, isSeatOf, Brest arrondissement]
  • A. Brest District
    Brest District is an administrative district in southwestern Belarus that surrounds and is governed from the city of Brest.
  • B. Brest chosen
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • 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 (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.
  • E. Pamiers
    Pamiers is a historic commune in southwestern France, known as the largest town in the Ariège department and noted for its medieval architecture and role as a local economic center.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c944548190a8dbe9b81045e97b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.