Triple

T9603366
Position Surface form Disambiguated ID Type / Status
Subject St James's Park tube station E231905 entity
Predicate hasStationCode P1289 FINISHED
Object ZSP
ZSP is the three-letter station code used to identify St James's Park tube station on the London Underground network.
 E809733 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: ZSP | Statement: [St James's Park tube station, hasStationCode, ZSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSP
Context triple: [St James's Park tube station, hasStationCode, ZSP]
  • A. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • B. ZSPD
    ZSPD is the ICAO airport code for Shanghai Pudong International Airport, a major international aviation hub serving Shanghai, China.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • E. SPZ
    SPZ is the FAA airport code for Silver Springs Airport, a public-use airfield serving the Silver Springs area in Nevada, United States.
  • 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: ZSP
Triple: [St James's Park tube station, hasStationCode, ZSP]
Generated description
ZSP is the three-letter station code used to identify St James's Park tube station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSP
Target entity description: ZSP is the three-letter station code used to identify St James's Park tube station on the London Underground network.
  • A. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • B. ZSPD
    ZSPD is the ICAO airport code for Shanghai Pudong International Airport, a major international aviation hub serving Shanghai, China.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • E. SPZ
    SPZ is the FAA airport code for Silver Springs Airport, a public-use airfield serving the Silver Springs area in Nevada, United States.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5cddf481909aa6b589bcb3e71a completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1792ba9388190b98d4fb081510c30 completed April 4, 2026, 8:48 p.m.
NEDg Description generation batch_69d179c6e8e88190a9d359bfef3cc851 completed April 4, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69d17a769b608190b49ad82b35cf1b44 completed April 4, 2026, 8:54 p.m.
Created at: March 30, 2026, 8:08 p.m.