Triple

T928333
Position Surface form Disambiguated ID Type / Status
Subject St. George subway station E20035 entity
Predicate hasStationCode P1289 FINISHED
Object STGE
STGE is the station code for St. George, a major interchange station on Toronto's subway system.
 E110023 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: STGE | Statement: [St. George subway station, hasStationCode, STGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STGE
Context triple: [St. George subway station, hasStationCode, STGE]
  • A. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • B. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • C. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • D. STN
    STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • E. GBE
    GBE is the highest grade of the Order of the British Empire, typically awarded for exceptionally distinguished service to the arts, sciences, public services, or charitable work.
  • 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: STGE
Triple: [St. George subway station, hasStationCode, STGE]
Generated description
STGE is the station code for St. George, a major interchange station on Toronto's subway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STGE
Target entity description: STGE is the station code for St. George, a major interchange station on Toronto's subway system.
  • A. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • B. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • C. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • D. STN
    STN is the three-letter IATA airport code for London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • E. GBE
    GBE is the highest grade of the Order of the British Empire, typically awarded for exceptionally distinguished service to the arts, sciences, public services, or charitable work.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34775ac8190aabbd047a36cec6b completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee0f01ac8190b280829dbc5ef102 completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f45b5b808190906419754d355feb completed March 4, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7f50a2a108190b2748c7e9bba3e06 completed March 4, 2026, 9:02 a.m.
Created at: March 1, 2026, 7:40 p.m.