Triple

T20649593
Position Surface form Disambiguated ID Type / Status
Subject Stockholm Östra station E507450 entity
Predicate hasStationCode P1289 FINISHED
Object Stö
Stö is the station code used to identify Stockholm Östra railway station in Sweden’s transportation network.
 E1442358 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: Stö | Statement: [Stockholm Östra station, hasStationCode, Stö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stö
Context triple: [Stockholm Östra station, hasStationCode, Stö]
  • A. Stör
    The Stör is a river in northern Germany that flows through Schleswig-Holstein and serves as a tributary of the Elbe.
  • B. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • C. Stoor
    Stoor is one of the three breeds of Hobbits in J.R.R. Tolkien’s Middle-earth legendarium, known for their stockier build and affinity for rivers and boats.
  • D. Stø
    Stø is a small coastal fishing village in Øksnes Municipality in Nordland county, Norway, known for its traditional fishing industry and access to rich marine wildlife.
  • E. Steng
    Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • 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: Stö
Triple: [Stockholm Östra station, hasStationCode, Stö]
Generated description
Stö is the station code used to identify Stockholm Östra railway station in Sweden’s transportation network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stö
Target entity description: Stö is the station code used to identify Stockholm Östra railway station in Sweden’s transportation network.
  • A. Stör
    The Stör is a river in northern Germany that flows through Schleswig-Holstein and serves as a tributary of the Elbe.
  • B. Stod
    Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
  • C. Stoor
    Stoor is one of the three breeds of Hobbits in J.R.R. Tolkien’s Middle-earth legendarium, known for their stockier build and affinity for rivers and boats.
  • D. Stø
    Stø is a small coastal fishing village in Øksnes Municipality in Nordland county, Norway, known for its traditional fishing industry and access to rich marine wildlife.
  • E. Steng
    Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2076b48190b9c8afb4eac65f46 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59354388190b5c2a0c1bdd14575 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.