Triple

T21061185
Position Surface form Disambiguated ID Type / Status
Subject Holborn Viaduct station E518849 entity
Predicate hasStationCode P1289 FINISHED
Object HVI
HVI is the National Rail station code assigned to the former Holborn Viaduct railway station in central London.
 E1465242 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: HVI | Statement: [Holborn Viaduct station, hasStationCode, HVI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HVI
Context triple: [Holborn Viaduct station, hasStationCode, HVI]
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HVF
    HVF is the National Rail station code for Haverfordwest railway station in Pembrokeshire, Wales.
  • C. HVL
    HVL is the vehicle registration code used for motor vehicles registered in the Havelland district of Brandenburg, Germany.
  • D. HVC
    HVC is a specialized song-control nucleus in the zebra finch brain that plays a key role in the learning and production of birdsong.
  • E. HuHi
    HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
  • 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: HVI
Triple: [Holborn Viaduct station, hasStationCode, HVI]
Generated description
HVI is the National Rail station code assigned to the former Holborn Viaduct railway station in central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HVI
Target entity description: HVI is the National Rail station code assigned to the former Holborn Viaduct railway station in central London.
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HVF
    HVF is the National Rail station code for Haverfordwest railway station in Pembrokeshire, Wales.
  • C. HVL
    HVL is the vehicle registration code used for motor vehicles registered in the Havelland district of Brandenburg, Germany.
  • D. HVC
    HVC is a specialized song-control nucleus in the zebra finch brain that plays a key role in the learning and production of birdsong.
  • E. HuHi
    HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feaf3edc81909423e039cac6bd87 completed April 21, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09506d7de881909dd7564628f142e5 completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09532354a48190bc275453ec866126 completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a095382a3808190ae6efd040225fbdd completed May 17, 2026, 5:34 a.m.
Created at: April 16, 2026, 2:38 p.m.