Triple

T23478271
Position Surface form Disambiguated ID Type / Status
Subject Freden i Fredrikshamn E570329 entity
Predicate signedIn P441 FINISHED
Object Hamina NE NERFINISHED

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: Hamina | Statement: [Freden i Fredrikshamn, signedIn, Hamina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamina
Context triple: [Freden i Fredrikshamn, signedIn, Hamina]
  • A. Hamina chosen
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • B. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • C. Aïn El Hammam
    Aïn El Hammam is a town in northern Algeria known for its mountainous Kabylie setting and Berber cultural heritage.
  • D. Ajdabiya
    Ajdabiya is a strategic town in northeastern Libya that became a key battleground during the 2011 Libyan Civil War due to its location on major coastal and desert routes.
  • E. Al Azaiba
    Al Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beach, proximity to the airport, and growing urban development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74e7e648190b89006dce7d7ce05 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.