Triple

T12568874
Position Surface form Disambiguated ID Type / Status
Subject Braga railway station E295545 entity
Predicate hasStationCode P1289 FINISHED
Object BRG
BRG is the station code for Braga railway station, a major rail hub in the city of Braga in northern Portugal.
 E990789 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: BRG | Statement: [Braga railway station, hasStationCode, BRG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRG
Context triple: [Braga railway station, hasStationCode, BRG]
  • A. BRG
    BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
  • B. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • C. R.Br.
    R.Br. is the standard botanical author abbreviation for Robert Brown, a pioneering Scottish botanist known for his work on plant taxonomy and the discovery of Brownian motion.
  • D. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • E. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • 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: BRG
Triple: [Braga railway station, hasStationCode, BRG]
Generated description
BRG is the station code for Braga railway station, a major rail hub in the city of Braga in northern Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRG
Target entity description: BRG is the station code for Braga railway station, a major rail hub in the city of Braga in northern Portugal.
  • A. BRG
    BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
  • B. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • C. R.Br.
    R.Br. is the standard botanical author abbreviation for Robert Brown, a pioneering Scottish botanist known for his work on plant taxonomy and the discovery of Brownian motion.
  • D. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • E. BR2
    BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655914f908190afbebbec3cb57e73 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f657e504c881909b960acc7758b39d completed May 2, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f658a80fd08190b1b8c161ca6e56ec completed May 2, 2026, 8:03 p.m.
Created at: April 8, 2026, 11:50 p.m.