Triple

T12347725
Position Surface form Disambiguated ID Type / Status
Subject Garston Docks E294400 entity
Predicate locatedNear P294 FINISHED
Object Speke
Speke is a suburb of Liverpool in Merseyside, England, known for its industrial estates, proximity to Liverpool John Lennon Airport, and post-war housing developments.
 E978959 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: Speke | Statement: [Garston Docks, locatedNear, Speke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Speke
Context triple: [Garston Docks, locatedNear, Speke]
  • A. Speke
    Speke is the surname of John Hanning Speke, the 19th-century British explorer best known for identifying Lake Victoria as a primary source of the Nile.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Karonga
    Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
  • D. Nansana
    Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
  • E. Singida
    Singida is a regional town in central Tanzania known as an important administrative and transport hub.
  • 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: Speke
Triple: [Garston Docks, locatedNear, Speke]
Generated description
Speke is a suburb of Liverpool in Merseyside, England, known for its industrial estates, proximity to Liverpool John Lennon Airport, and post-war housing developments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Speke
Target entity description: Speke is a suburb of Liverpool in Merseyside, England, known for its industrial estates, proximity to Liverpool John Lennon Airport, and post-war housing developments.
  • A. Speke
    Speke is the surname of John Hanning Speke, the 19th-century British explorer best known for identifying Lake Victoria as a primary source of the Nile.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Karonga
    Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
  • D. Nansana
    Nansana is a rapidly growing urban municipality in Uganda that forms part of the Greater Kampala metropolitan area.
  • E. Singida
    Singida is a regional town in central Tanzania known as an important administrative and transport hub.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aae8d7c8190a722c28a5a153d1d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.