Triple

T6122247
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Fredrikshamn E136511 entity
Predicate signedIn P441 FINISHED
Object Hamina E206540 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: Hamina | Statement: [Treaty of Fredrikshamn, signedIn, Hamina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamina
Context triple: [Treaty of 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. 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.
  • C. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • D. Ghadamis
    Ghadamis is an ancient oasis town in western Libya, renowned for its well-preserved traditional mud-brick architecture and status as a UNESCO World Heritage Site.
  • E. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c247b7081909972b40afb165e6f completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14165f3e88190903120d4b2ff6189 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:14 p.m.