Triple

T13013242
Position Surface form Disambiguated ID Type / Status
Subject Queenstown E322475 entity
Predicate locatedIn P40 FINISHED
Object Battersea
Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Park, and the iconic Battersea Power Station.
 E55245 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: Battersea | Statement: [Queenstown, locatedIn, Battersea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Battersea
Context triple: [Queenstown, locatedIn, Battersea]
  • A. Battersea
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • B. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • C. Lambeth
    Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
  • D. Camberwell
    Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
  • E. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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: Battersea
Triple: [Queenstown, locatedIn, Battersea]
Generated description
Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Park, and the iconic Battersea Power Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Battersea
Target entity description: Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Park, and the iconic Battersea Power Station.
  • A. Battersea chosen
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • B. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • C. Lambeth
    Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
  • D. Camberwell
    Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
  • E. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d6fde508190865a8e3e391fdf5e completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f53e9e08190b471e1698390f0c8 completed May 8, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd6fd126a881908baef34c1c013fe1 completed May 8, 2026, 5:08 a.m.
Created at: April 9, 2026, 8:49 p.m.