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.