Triple

T23042810
Position Surface form Disambiguated ID Type / Status
Subject Kochstraße U-Bahn station E573784 entity
Predicate hasStationCode P1289 FINISHED
Object KOS
KOS is the station code used to identify the Berlin U-Bahn stop Kochstraße, located near Checkpoint Charlie in the city center.
E1569011 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: KOS | Statement: [Kochstraße U-Bahn station, hasStationCode, KOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOS
Context triple: [Kochstraße U-Bahn station, hasStationCode, KOS]
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • C. KCOS
    KCOS is the ICAO airport code for Colorado Springs Airport, a public civil-military airport serving Colorado Springs, Colorado.
  • D. KOST
    KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
  • E. KOSB
    KOSB is the commonly used abbreviation for the King's Own Scottish Borderers, a historic line infantry regiment of the British Army with strong ties to Scotland's border 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: KOS
Triple: [Kochstraße U-Bahn station, hasStationCode, KOS]
Generated description
KOS is the station code used to identify the Berlin U-Bahn stop Kochstraße, located near Checkpoint Charlie in the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KOS
Target entity description: KOS is the station code used to identify the Berlin U-Bahn stop Kochstraße, located near Checkpoint Charlie in the city center.
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • C. KCOS
    KCOS is the ICAO airport code for Colorado Springs Airport, a public civil-military airport serving Colorado Springs, Colorado.
  • D. KOST
    KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
  • E. KOSB
    KOSB is the commonly used abbreviation for the King's Own Scottish Borderers, a historic line infantry regiment of the British Army with strong ties to Scotland's border 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18516417081908bf747b20de23a75 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad85abc8190ab6328224aa3320f completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f873d588190be23c0040c50024c completed May 19, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fe69cf0819091fe545b9fdfeaca completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.