Triple

T2611273
Position Surface form Disambiguated ID Type / Status
Subject Kostroma Oblast E58778 entity
Predicate containsTown P847 FINISHED
Object Nerekhta E281343 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: Nerekhta | Statement: [Kostroma Oblast, containsTown, Nerekhta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nerekhta
Context triple: [Kostroma Oblast, containsTown, Nerekhta]
  • A. Nerekhta chosen
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • B. Mandika
    Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
  • C. Rissala
    Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90817f8c81908c3792bd406c5ce6 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.