Triple

T11588671
Position Surface form Disambiguated ID Type / Status
Subject Haarajoki railway station E274820 entity
Predicate locatedIn P40 FINISHED
Object Haarajoki
Haarajoki is a village in southern Finland that serves as a local residential area with its own railway station providing regional rail connections.
 E935048 NE FINISHED

How this triple was built (4 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: Haarajoki | Statement: [Haarajoki railway station, locatedIn, Haarajoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haarajoki
Context triple: [Haarajoki railway station, locatedIn, Haarajoki]
  • A. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • B. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • C. Karijoki
    Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
  • D. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • E. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haarajoki
Triple: [Haarajoki railway station, locatedIn, Haarajoki]
Generated description
Haarajoki is a village in southern Finland that serves as a local residential area with its own railway station providing regional rail connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haarajoki
Target entity description: Haarajoki is a village in southern Finland that serves as a local residential area with its own railway station providing regional rail connections.
  • A. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • B. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • C. Karijoki
    Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
  • D. Eurajoki
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • E. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • F. None of above. chosen

Provenance (5 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71451f1388190b72d7b755d198999 completed April 21, 2026, 6:08 a.m.
NEDg Description generation batch_69e720fb192881909c129f93c8b88f42 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e7233efb6c81909dbf1aef080f5598 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.