Triple

T9275066
Position Surface form Disambiguated ID Type / Status
Subject Tartu railway station E222924 entity
Predicate hasStationCode P1289 FINISHED
Object TRT
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
E787952 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: TRT | Statement: [Tartu railway station, hasStationCode, TRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT
Context triple: [Tartu railway station, hasStationCode, TRT]
  • A. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • B. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • C. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • D. TRTA
    TRTA (Teito Rapid Transit Authority) was the former public corporation responsible for operating most of Tokyo’s subway network before its privatization into Tokyo Metro.
  • E. TRTA
    TRTA is the acronym for the Tahoe Rim Trail Association, a nonprofit organization dedicated to building, maintaining, and promoting the Tahoe Rim Trail around Lake Tahoe.
  • 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: TRT
Triple: [Tartu railway station, hasStationCode, TRT]
Generated description
TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TRT
Target entity description: TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
  • A. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • B. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • C. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • D. TRTA
    TRTA (Teito Rapid Transit Authority) was the former public corporation responsible for operating most of Tokyo’s subway network before its privatization into Tokyo Metro.
  • E. TRTA
    TRTA is the acronym for the Tahoe Rim Trail Association, a nonprofit organization dedicated to building, maintaining, and promoting the Tahoe Rim Trail around Lake Tahoe.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09cf1f2f48190b53e062c3eb4565d completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d9739d48190ac3b240390f36c38 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:34 p.m.