Triple

T23456813
Position Surface form Disambiguated ID Type / Status
Subject Hove railway station E567947 entity
Predicate stationCode P1289 FINISHED
Object HOV
HOV is the three-letter National Rail station code assigned to Hove railway station in East Sussex, England.
 E1586335 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: HOV | Statement: [Hove railway station, stationCode, HOV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HOV
Context triple: [Hove railway station, stationCode, HOV]
  • A. Hov
    Hov is a small coastal village on the island of Gimsøya in Norway’s Lofoten archipelago, known for its scenic beaches, golf course, and views of the midnight sun and Northern Lights.
  • B. Hov
    Hov is a small village in Innlandet county, Norway, serving as the main local hub for services and commerce in the Søndre Land area.
  • C. Hov
    Hov is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
  • D. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • E. Carpool
    Carpool is a 1996 American family comedy film about a harried father whose day spirals out of control when his minivan full of kids is taken over by a bumbling robber.
  • 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: HOV
Triple: [Hove railway station, stationCode, HOV]
Generated description
HOV is the three-letter National Rail station code assigned to Hove railway station in East Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HOV
Target entity description: HOV is the three-letter National Rail station code assigned to Hove railway station in East Sussex, England.
  • A. Hov
    Hov is a small coastal village on the island of Gimsøya in Norway’s Lofoten archipelago, known for its scenic beaches, golf course, and views of the midnight sun and Northern Lights.
  • B. Hov
    Hov is a small village in Innlandet county, Norway, serving as the main local hub for services and commerce in the Søndre Land area.
  • C. Hov
    Hov is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
  • D. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • E. Carpool
    Carpool is a 1996 American family comedy film about a harried father whose day spirals out of control when his minivan full of kids is taken over by a bumbling robber.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a6980d4481909fab47cb5bd28eab completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67c3bda88190b1f16a7cc21c1a93 completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76e904b08190a5329a3ed56291dc completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:53 p.m.