Triple

T22627217
Position Surface form Disambiguated ID Type / Status
Subject Regional Electoral Courts E558452 entity
Predicate abbreviation P43 FINISHED
Object TREs
TREs are Brazil’s Regional Electoral Courts, responsible for organizing and overseeing elections and electoral justice within each state.
 E1546305 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: TREs | Statement: [Regional Electoral Courts, abbreviation, TREs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TREs
Context triple: [Regional Electoral Courts, abbreviation, TREs]
  • A. TRE
    TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
  • B. 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.
  • C. TRO
    TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
  • D. 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.
  • E. TRR
    TRR is the station code for Torre railway station, a local train stop in Italy’s national rail network.
  • 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: TREs
Triple: [Regional Electoral Courts, abbreviation, TREs]
Generated description
TREs are Brazil’s Regional Electoral Courts, responsible for organizing and overseeing elections and electoral justice within each state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TREs
Target entity description: TREs are Brazil’s Regional Electoral Courts, responsible for organizing and overseeing elections and electoral justice within each state.
  • A. 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.
  • B. TRE
    TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
  • C. TRO
    TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
  • D. 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.
  • E. TRR
    TRR is the station code for Torre railway station, a local train stop in Italy’s national rail network.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3e09ec8190af940c25c7e8e029 completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e093d288190bd46a771227981b8 completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4f13b2fc8190807c8dda3733cf53 completed May 18, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4fffea548190b0c3d9cce1c89aa9 completed May 18, 2026, 5:44 p.m.
Created at: April 17, 2026, 3:01 p.m.