Triple

T13815444
Position Surface form Disambiguated ID Type / Status
Subject Helsinki region E332002 entity
Predicate contains P35 FINISHED
Object Inkoo E989255 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: Inkoo | Statement: [Helsinki region, contains, Inkoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inkoo
Context triple: [Helsinki region, contains, Inkoo]
  • A. Inkoo chosen
    Inkoo is a coastal municipality in southern Finland known for its bilingual Finnish-Swedish community and location along the Gulf of Finland.
  • B. Injinoo
    Injinoo is a remote Indigenous community in far northern Queensland, Australia, located on the Cape York Peninsula.
  • C. Inkeri
    Inkeri refers to the Ingrian Finns, a Finnic ethnic group historically inhabiting the Ingria region near Saint Petersburg in northwestern Russia.
  • D. Jinki
    Jinki was a Japanese era name (nengō) of the Nara period, used during the reign of Empress Genshō.
  • E. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.