Triple

T22226233
Position Surface form Disambiguated ID Type / Status
Subject Torre railway station E549344 entity
Predicate stationCode P1289 FINISHED
Object TRR
TRR is the station code for Torre railway station, a local train stop in Italy’s national rail network.
 E1525626 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: TRR | Statement: [Torre railway station, stationCode, TRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRR
Context triple: [Torre railway station, stationCode, TRR]
  • A. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • B. TRR
    TRR is the stock ticker symbol for Terra Networks, a Spanish internet and telecommunications company best known for its web portals and online services.
  • C. RTR
    RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
  • D. RTR
    RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
  • E. TRE
    TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
  • 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: TRR
Triple: [Torre railway station, stationCode, TRR]
Generated description
TRR is the station code for Torre railway station, a local train stop in Italy’s national rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRR
Target entity description: TRR is the station code for Torre railway station, a local train stop in Italy’s national rail network.
  • A. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • B. TRR
    TRR is the stock ticker symbol for Terra Networks, a Spanish internet and telecommunications company best known for its web portals and online services.
  • C. RTR
    RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
  • D. RTR
    RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
  • E. TRE
    TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bee8de8819091ec5d14ea057f9e completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae734ccc8190a16b3f3350fa5ebc completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab00780f8819086ef4d3e5756133d completed May 18, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:37 p.m.