Triple

T16023365
Position Surface form Disambiguated ID Type / Status
Subject Östermalmstorg metro station E388656 entity
Predicate hasStationCode P1289 FINISHED
Object ÖTG
ÖTG is the station code used to identify Östermalmstorg metro station in the Stockholm metro system.
 E1189827 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: ÖTG | Statement: [Östermalmstorg metro station, hasStationCode, ÖTG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÖTG
Context triple: [Östermalmstorg metro station, hasStationCode, ÖTG]
  • A. O-T
    O-T is the professional nickname of British actor, writer, and director O-T Fagbenle, known for his roles in television, film, and theatre.
  • B. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • C. Otl
    Otl is the commonly used nickname of Otto Aicher, the influential German graphic designer better known as Otl Aicher.
  • D. Ott
    Ott is a surname most famously associated with Mel Ott, a Hall of Fame Major League Baseball slugger for the New York Giants.
  • E. Ötüken
    Ötüken was the sacred central homeland and political heartland of the early Turkic peoples, serving as the core power base of the Göktürk Khaganate in Inner Asia.
  • 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: ÖTG
Triple: [Östermalmstorg metro station, hasStationCode, ÖTG]
Generated description
ÖTG is the station code used to identify Östermalmstorg metro station in the Stockholm metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÖTG
Target entity description: ÖTG is the station code used to identify Östermalmstorg metro station in the Stockholm metro system.
  • A. O-T
    O-T is the professional nickname of British actor, writer, and director O-T Fagbenle, known for his roles in television, film, and theatre.
  • B. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • C. Otl
    Otl is the commonly used nickname of Otto Aicher, the influential German graphic designer better known as Otl Aicher.
  • D. Ott
    Ott is a surname most famously associated with Mel Ott, a Hall of Fame Major League Baseball slugger for the New York Giants.
  • E. Ötüken
    Ötüken was the sacred central homeland and political heartland of the early Turkic peoples, serving as the core power base of the Göktürk Khaganate in Inner Asia.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18324bf308190b80bb445c7911198 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.