Triple

T12229331
Position Surface form Disambiguated ID Type / Status
Subject Sheung Wan E291433 entity
Predicate hasLandmark P105 FINISHED
Object Cat Street
Cat Street is a famous antique and curio market street in Hong Kong known for its vintage goods, collectibles, and traditional Chinese art.
E970444 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: Cat Street | Statement: [Sheung Wan, hasLandmark, Cat Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cat Street
Context triple: [Sheung Wan, hasLandmark, Cat Street]
  • A. Cat Street
    Cat Street is a trendy pedestrian shopping and café-lined alley in Tokyo’s Harajuku–Shibuya area, known for its fashion boutiques and youth culture.
  • B. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • C. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • D. Catte Street
    Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
  • E. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • 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: Cat Street
Triple: [Sheung Wan, hasLandmark, Cat Street]
Generated description
Cat Street is a famous antique and curio market street in Hong Kong known for its vintage goods, collectibles, and traditional Chinese art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cat Street
Target entity description: Cat Street is a famous antique and curio market street in Hong Kong known for its vintage goods, collectibles, and traditional Chinese art.
  • A. Cat Street
    Cat Street is a trendy pedestrian shopping and café-lined alley in Tokyo’s Harajuku–Shibuya area, known for its fashion boutiques and youth culture.
  • B. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • C. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • D. Catte Street
    Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
  • E. Love Street
    Love Street was a historic football stadium in Paisley, Scotland, best known as the long-time home of St Mirren F.C.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca34fe88190900c8791c70948b7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aab4a70819099856b990e3a8a1b completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c9276d0819086b5f7712fe8d6e6 completed May 2, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:51 p.m.