Triple

T4035031
Position Surface form Disambiguated ID Type / Status
Subject St George's Cross subway station E83807 entity
Predicate hasStationCode P1289 FINISHED
Object SGC
SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
 E409333 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: SGC | Statement: [St George's Cross subway station, hasStationCode, SGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGC
Context triple: [St George's Cross subway station, hasStationCode, SGC]
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • D. SGS
    SGS is the three-letter ISO 3166-1 alpha-3 country code corresponding to South Georgia and the South Sandwich Islands.
  • E. GCSB
    GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
  • 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: SGC
Triple: [St George's Cross subway station, hasStationCode, SGC]
Generated description
SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGC
Target entity description: SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • D. SGS
    SGS is the three-letter ISO 3166-1 alpha-3 country code corresponding to South Georgia and the South Sandwich Islands.
  • E. GCSB
    GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563e11708190abc9ba55b1be43a5 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a291d8c8190976e764011692ba0 completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a9ec7e88190bc5d165fd666f4b3 completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:36 p.m.