Triple

T11191898
Position Surface form Disambiguated ID Type / Status
Subject Rhöndorf (Rhein) station E264821 entity
Predicate hasStationCode P1289 FINISHED
Object KRDH
KRDH is the station code used to identify Rhöndorf (Rhein) railway station in Germany’s rail network.
E910790 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: KRDH | Statement: [Rhöndorf (Rhein) station, hasStationCode, KRDH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KRDH
Context triple: [Rhöndorf (Rhein) station, hasStationCode, KRDH]
  • A. KDHN
    KDHN is the ICAO airport code for Dothan Regional Airport in Dothan, Alabama, United States.
  • B. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • C. KRDR
    KRDR is the ICAO airport code for Grand Forks Air Force Base, a United States Air Force installation in North Dakota.
  • D. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • E. KDSM
    KDSM is the ICAO airport code for Des Moines International Airport in Des Moines, Iowa, a key commercial aviation hub for the region.
  • 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: KRDH
Triple: [Rhöndorf (Rhein) station, hasStationCode, KRDH]
Generated description
KRDH is the station code used to identify Rhöndorf (Rhein) railway station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KRDH
Target entity description: KRDH is the station code used to identify Rhöndorf (Rhein) railway station in Germany’s rail network.
  • A. KDHN
    KDHN is the ICAO airport code for Dothan Regional Airport in Dothan, Alabama, United States.
  • B. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • C. KRDR
    KRDR is the ICAO airport code for Grand Forks Air Force Base, a United States Air Force installation in North Dakota.
  • D. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • E. KDSM
    KDSM is the ICAO airport code for Des Moines International Airport in Des Moines, Iowa, a key commercial aviation hub for the region.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483ec6ca8819082713a278c987756 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.