Triple

T8357884
Position Surface form Disambiguated ID Type / Status
Subject Reval E196723 entity
Predicate hasAlternativeName P39 FINISHED
Object Revalen E728827 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: Revalen | Statement: [Reval, hasAlternativeName, Revalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revalen
Context triple: [Reval, hasAlternativeName, Revalen]
  • A. Revalia chosen
    Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
  • B. Lierne
    Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
  • C. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • D. Vytegra
    Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
  • E. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale region.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb806fa5c88190b23b6b3ee9d6ec6d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7bd74fc8190abdb2813d51d79f8 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:59 p.m.