Triple

T11519349
Position Surface form Disambiguated ID Type / Status
Subject Ainola railway station E273119 entity
Predicate formerName P65 FINISHED
Object Ainola halt E273119 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: Ainola halt | Statement: [Ainola railway station, formerName, Ainola halt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ainola halt
Context triple: [Ainola railway station, formerName, Ainola halt]
  • A. Ainola
    Ainola is the lakeside home and museum of Finnish composer Jean Sibelius, preserved as a cultural landmark in Järvenpää, Finland.
  • B. Hietaniemi
    Hietaniemi is a district in Helsinki, Finland, known for its seaside location, cemetery, and popular recreational areas including Hietaniemi Beach.
  • C. Santahamina
    Santahamina is an island district of Helsinki, Finland, primarily known as a military area that hosts key defence facilities.
  • D. Ainola railway station chosen
    Ainola railway station is a commuter rail stop in Järvenpää, Finland, serving the Helsinki metropolitan area's rail network and providing access to the nearby Ainola, the home of composer Jean Sibelius.
  • E. Aloisio
    Aloisio is an Italian given name, commonly used as a variant of Aloysius and borne by various historical and contemporary figures.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7c75578819090a664aaa44cf933 completed April 21, 2026, 2:58 a.m.
Created at: April 8, 2026, 9:36 p.m.