Triple

T2874095
Position Surface form Disambiguated ID Type / Status
Subject London Victoria E56834 entity
Predicate stationCode P1289 FINISHED
Object VIC
VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
 E305742 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: VIC | Statement: [London Victoria, stationCode, VIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VIC
Context triple: [London Victoria, stationCode, VIC]
  • A. VIC
    VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
  • B. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • C. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • D. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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: VIC
Triple: [London Victoria, stationCode, VIC]
Generated description
VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VIC
Target entity description: VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
  • A. VIC
    VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
  • B. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • C. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • D. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b0201470cc81909188573c3749dffb completed March 10, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69b020aa00888190a683a621f1e1a107 completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:03 p.m.