Triple

T13669521
Position Surface form Disambiguated ID Type / Status
Subject Gdovsky District E327711 entity
Predicate hasSettlement P1068 FINISHED
Object Gdov E419446 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: Gdov | Statement: [Gdovsky District, hasSettlement, Gdov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdov
Context triple: [Gdovsky District, hasSettlement, Gdov]
  • A. Gdov chosen
    Gdov is a small historic town in western Russia near the Estonian border, known for its medieval fortress and strategic location by Lake Peipus.
  • B. Gowro
    Gowro is an Indo-Aryan language of the Kohistani group spoken by a small community in northern Pakistan.
  • C. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • D. Gouderak
    Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
  • E. Graudenz
    Graudenz is the German name for the historic city of Grudziądz, now in northern Poland, known for its medieval fortifications and strategic location on the Vistula River.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943bfaf0819097410e901847d77c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.