Triple

T18541549
Position Surface form Disambiguated ID Type / Status
Subject Burgdorf railway station E453111 entity
Predicate hasStationCode P1289 FINISHED
Object CH Burgdorf
CH Burgdorf is the station code for Burgdorf railway station in the town of Burgdorf, Switzerland.
 E1328544 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: CH Burgdorf | Statement: [Burgdorf railway station, hasStationCode, CH Burgdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CH Burgdorf
Context triple: [Burgdorf railway station, hasStationCode, CH Burgdorf]
  • A. Landstuhl
    Landstuhl is a small town in southwestern Germany, known for its proximity to the U.S. military’s Ramstein Air Base and its historic Nanstein Castle.
  • B. Vilseck
    Vilseck is a small Bavarian town in Germany known for its historic medieval center and proximity to the U.S. Army Garrison Bavaria (Rose Barracks).
  • C. Ohlendorf
    Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • 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: CH Burgdorf
Triple: [Burgdorf railway station, hasStationCode, CH Burgdorf]
Generated description
CH Burgdorf is the station code for Burgdorf railway station in the town of Burgdorf, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CH Burgdorf
Target entity description: CH Burgdorf is the station code for Burgdorf railway station in the town of Burgdorf, Switzerland.
  • A. Landstuhl
    Landstuhl is a small town in southwestern Germany, known for its proximity to the U.S. military’s Ramstein Air Base and its historic Nanstein Castle.
  • B. Vilseck
    Vilseck is a small Bavarian town in Germany known for its historic medieval center and proximity to the U.S. Army Garrison Bavaria (Rose Barracks).
  • C. Ohlendorf
    Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
  • D. Schwanebeck
    Schwanebeck is a former municipality in Brandenburg, Germany, that now forms part of the town of Panketal.
  • E. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b749b88190ad03b26bee3c89df completed April 19, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049181e49c8190b606687f9b078b3a completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a04920be21881908f8aac148aa0ae4d completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492a5f9148190911747f8d50540e3 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:38 a.m.