Triple

T3447267
Position Surface form Disambiguated ID Type / Status
Subject Hyde Park Corner Underground station E72706 entity
Predicate hasStationCode P1289 FINISHED
Object ZHP
ZHP is the National Rail station code assigned to Hyde Park Corner Underground station in London.
 E358612 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: ZHP | Statement: [Hyde Park Corner Underground station, hasStationCode, ZHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZHP
Context triple: [Hyde Park Corner Underground station, hasStationCode, ZHP]
  • A. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • B. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • C. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • D. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • E. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • 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: ZHP
Triple: [Hyde Park Corner Underground station, hasStationCode, ZHP]
Generated description
ZHP is the National Rail station code assigned to Hyde Park Corner Underground station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZHP
Target entity description: ZHP is the National Rail station code assigned to Hyde Park Corner Underground station in London.
  • A. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • B. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • C. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • D. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • E. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba6efb188190b989fa4d6f28e16b completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e32ba08190bcd2f3cbe963c443 completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3615e714481909535fa9aace3a170 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b361b6f32c8190871c669a2b43ef56 completed March 13, 2026, 1 a.m.
Created at: March 8, 2026, 3:16 p.m.