Triple

T5313249
Position Surface form Disambiguated ID Type / Status
Subject DB Regio E119083 entity
Predicate competitor P1375 FINISHED
Object Netinera
Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
 E510344 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: Netinera | Statement: [DB Regio, competitor, Netinera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netinera
Context triple: [DB Regio, competitor, Netinera]
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Neea
    Neea is a genus of flowering plants in the four o'clock family, comprising mostly tropical trees and shrubs native to the Americas.
  • D. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • E. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • 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: Netinera
Triple: [DB Regio, competitor, Netinera]
Generated description
Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Netinera
Target entity description: Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Neea
    Neea is a genus of flowering plants in the four o'clock family, comprising mostly tropical trees and shrubs native to the Americas.
  • D. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • E. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8536c06c81908ef8ba8c39b4fa30 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1106ef9c8190811f7b70e784c962 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a601c481908a8cb6ea2c04d6df completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf127799208190a47580ed7b9ad550 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:54 p.m.