Triple

T20456548
Position Surface form Disambiguated ID Type / Status
Subject Eidskog E501802 entity
Predicate hasRailwayStation P918 FINISHED
Object Matrand Station
Matrand Station is a small railway station serving the village of Matrand in Eidskog Municipality in Innlandet county, Norway.
E1433147 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: Matrand Station | Statement: [Eidskog, hasRailwayStation, Matrand Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matrand Station
Context triple: [Eidskog, hasRailwayStation, Matrand Station]
  • A. Mouton-Duvernet station
    Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
  • B. Vavin station
    Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
  • C. Tassin station
    Tassin station is a local railway station serving the commune of Tassin-la-Demi-Lune in the Lyon metropolitan area of France.
  • D. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • E. Valmondois station
    Valmondois station is a railway terminus in Valmondois, France, serving as the endpoint of Île-de-France tram-train Line H services in the northern suburbs of Paris.
  • 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: Matrand Station
Triple: [Eidskog, hasRailwayStation, Matrand Station]
Generated description
Matrand Station is a small railway station serving the village of Matrand in Eidskog Municipality in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matrand Station
Target entity description: Matrand Station is a small railway station serving the village of Matrand in Eidskog Municipality in Innlandet county, Norway.
  • A. Mouton-Duvernet station
    Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
  • B. Vavin station
    Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
  • C. Tassin station
    Tassin station is a local railway station serving the commune of Tassin-la-Demi-Lune in the Lyon metropolitan area of France.
  • D. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • E. Valmondois station
    Valmondois station is a railway terminus in Valmondois, France, serving as the endpoint of Île-de-France tram-train Line H services in the northern suburbs of Paris.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b10b6608190a88f466dccf31322 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:32 a.m.