Triple

T12566694
Position Surface form Disambiguated ID Type / Status
Subject Greater Helsinki E295495 entity
Predicate contains P35 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: [Greater Helsinki, contains, Hamina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamina
Context triple: [Greater Helsinki, contains, 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. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.