Triple

T15940604
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Bridge E386548 entity
Predicate connects P390 FINISHED
Object Chelsea
Chelsea is a district in West London known for its affluent residential streets, upscale shopping, and prominent role in British cultural and artistic life.
E525477 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: Chelsea | Statement: [Chelsea Bridge, connects, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea
Context triple: [Chelsea Bridge, connects, Chelsea]
  • A. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • B. Chelsea
    Chelsea is a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • C. Chelsea
    Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • D. Chelsea
    "Chelsea" is a historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
  • E. Chelsea
    "Chelsea" is a song by Phoebe Bridgers from her debut studio album "Stranger in the Alps."
  • 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: Chelsea
Triple: [Chelsea Bridge, connects, Chelsea]
Generated description
Chelsea is a district in West London known for its affluent residential streets, upscale shopping, and prominent role in British cultural and artistic life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chelsea
Target entity description: Chelsea is a district in West London known for its affluent residential streets, upscale shopping, and prominent role in British cultural and artistic life.
  • A. Chelsea chosen
    Chelsea is an affluent district in West London known for its upscale residential streets, fashionable boutiques, and cultural landmarks along the River Thames.
  • B. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • C. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • D. Chelsea
    Chelsea is a small city in southeastern Michigan, known for its historic downtown, arts scene, and proximity to Ann Arbor.
  • E. Chelsea
    Chelsea is a small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff291a4308190bd5b45dfdb3a6b98 completed May 10, 2026, 2:50 a.m.
NEDg Description generation batch_69fff35ded288190b4d261358f1661cb completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:53 a.m.