Triple

T6979380
Position Surface form Disambiguated ID Type / Status
Subject Branchton railway station E161799 entity
Predicate hasStationCode P1289 FINISHED
Object BRC
BRC is the station code for Branchton railway station, a local rail stop in Scotland’s Inverclyde area.
E634003 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: BRC | Statement: [Branchton railway station, hasStationCode, BRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRC
Context triple: [Branchton railway station, hasStationCode, BRC]
  • A. BRC
    BRC is the commonly used abbreviation for Black Rock City, the temporary city built annually in Nevada’s Black Rock Desert for the Burning Man festival.
  • B. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • C. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • D. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • E. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • 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: BRC
Triple: [Branchton railway station, hasStationCode, BRC]
Generated description
BRC is the station code for Branchton railway station, a local rail stop in Scotland’s Inverclyde area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BRC
Target entity description: BRC is the station code for Branchton railway station, a local rail stop in Scotland’s Inverclyde area.
  • A. BRC
    BRC is the commonly used abbreviation for Black Rock City, the temporary city built annually in Nevada’s Black Rock Desert for the Burning Man festival.
  • B. BRC
    BRC is the IATA airport code for San Carlos de Bariloche’s main international airport in Argentina.
  • C. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • D. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • E. BRL
    BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6aa6188190af7656ff4d0e3230 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c763d0e5d481909a98dd01806264f1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c764580f888190872ca1d2230648e8 completed March 28, 2026, 5:17 a.m.
Created at: March 27, 2026, 2:31 p.m.