Triple

T9811456
Position Surface form Disambiguated ID Type / Status
Subject Teddington railway station E238280 entity
Predicate typicalOffPeakServiceTo P80227 FINISHED
Object Kingston
Kingston is a major suburban town in southwest London, England, known for its historic market, riverside location on the Thames, and significant shopping and commercial centre.
E628255 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: Kingston | Statement: [Teddington railway station, typicalOffPeakServiceTo, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston
Context triple: [Teddington railway station, typicalOffPeakServiceTo, Kingston]
  • A. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • B. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • C. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • D. Kingston
    Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
  • E. Kingston
    Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
  • 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: Kingston
Triple: [Teddington railway station, typicalOffPeakServiceTo, Kingston]
Generated description
Kingston is a major suburban town in southwest London, England, known for its historic market, riverside location on the Thames, and significant shopping and commercial centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kingston
Target entity description: Kingston is a major suburban town in southwest London, England, known for its historic market, riverside location on the Thames, and significant shopping and commercial centre.
  • A. Kingston chosen
    Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
  • B. Kingston
    Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
  • C. Kingston
    Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
  • D. Kingston
    Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
  • E. Kingston
    Kingston is a small settlement in New Zealand’s South Island, located at the southern end of Lake Wakatipu and known as a gateway to the Queenstown-Lakes district.
  • F. None of above.

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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2214a7c8190b516acf64e2b85db completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5f768c8190987aaa7164f42444 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1ccd04b60819085a5bde42605ecf5 completed April 5, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd70aa5481908b67afef279c38af completed April 5, 2026, 2:48 a.m.
Created at: March 30, 2026, 8:30 p.m.