Triple

T6592353
Position Surface form Disambiguated ID Type / Status
Subject Oslo commuter rail E148391 entity
Predicate connects P390 FINISHED
Object Dal
Dal is a village and railway station in Eidsvoll municipality in Norway, serving as a terminus for some Oslo commuter rail services.
 E599684 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: Dal | Statement: [Oslo commuter rail, connects, Dal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dal
Context triple: [Oslo commuter rail, connects, Dal]
  • A. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • B. Dar
    Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
  • C. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • D. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • E. Dalane
    Dalane is a traditional district in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small industrial and fishing communities.
  • 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: Dal
Triple: [Oslo commuter rail, connects, Dal]
Generated description
Dal is a village and railway station in Eidsvoll municipality in Norway, serving as a terminus for some Oslo commuter rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dal
Target entity description: Dal is a village and railway station in Eidsvoll municipality in Norway, serving as a terminus for some Oslo commuter rail services.
  • A. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • B. Dar
    Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
  • C. Doala
    Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
  • D. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • E. Dalane
    Dalane is a traditional district in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small industrial and fishing communities.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbba656c81909c3876a8f2f7300e completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd08a9c88190a481d4d3f8e680bf completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc859cc8190bbae2efc39409021 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:55 p.m.