Triple

T9514312
Position Surface form Disambiguated ID Type / Status
Subject The Plain E229483 entity
Predicate adjacentTo P224 FINISHED
Object St Clements
St Clements is a district of Oxford, England, known for its busy main street of shops, pubs, and restaurants linking the city centre with the eastern suburbs.
E804148 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: St Clements | Statement: [The Plain, adjacentTo, St Clements]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Clements
Context triple: [The Plain, adjacentTo, St Clements]
  • A. St Marys
    St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
  • B. St. Mary’s
    St. Mary’s is a notable corner on the historic Goodwood Motor Circuit, known as a fast, flowing bend that challenges racing drivers’ precision and bravery.
  • C. Clementswood
    Clementswood is a residential district within the London Borough of Redbridge in East London, England.
  • D. Loretto
    Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
  • E. Loretto
    Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
  • 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: St Clements
Triple: [The Plain, adjacentTo, St Clements]
Generated description
St Clements is a district of Oxford, England, known for its busy main street of shops, pubs, and restaurants linking the city centre with the eastern suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: St Clements
Target entity description: St Clements is a district of Oxford, England, known for its busy main street of shops, pubs, and restaurants linking the city centre with the eastern suburbs.
  • A. St Marys
    St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
  • B. St. Mary’s
    St. Mary’s is a notable corner on the historic Goodwood Motor Circuit, known as a fast, flowing bend that challenges racing drivers’ precision and bravery.
  • C. Clementswood
    Clementswood is a residential district within the London Borough of Redbridge in East London, England.
  • D. Loretto
    Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
  • E. Loretto
    Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986bfcac8190aa97f8975cb17f6c completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a3e93a481908569a4ec80c834ab completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c88a8b881909b024cf99a6a2778 completed April 4, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69d13cfaab2c8190a6cc0fefeac7cd45 completed April 4, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:58 p.m.