Triple
T14503178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Road |
E340195
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Central
Central is Hong Kong’s main business and financial district, known for its skyscrapers, luxury shopping, and historic colonial-era sites.
|
E685608
|
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: Central | Statement: [Hollywood Road, partOf, Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Context triple: [Hollywood Road, partOf, Central]
-
A.
Central
Central was a former local government region in Scotland that existed from 1975 to 1996, covering areas including Stirling, Falkirk, and Clackmannan.
-
B.
Central
Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
-
C.
Central
Central is the primary public repository for Java and JVM-based libraries used by the Apache Maven build automation tool and other dependency management systems.
-
D.
Central
Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
-
E.
Central
Central is the standard map abbreviation used to denote the Central line, one of the primary east–west routes on the London Underground.
- 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: Central Triple: [Hollywood Road, partOf, Central]
Generated description
Central is Hong Kong’s main business and financial district, known for its skyscrapers, luxury shopping, and historic colonial-era sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Target entity description: Central is Hong Kong’s main business and financial district, known for its skyscrapers, luxury shopping, and historic colonial-era sites.
-
A.
Central
chosen
Central is Hong Kong's primary central business district, known for its dense skyline, major financial institutions, and role as a commercial and political hub.
-
B.
Central
Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
-
C.
Central
Central is the standard map abbreviation used to denote the Central line, one of the primary east–west routes on the London Underground.
-
D.
Central
Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
-
E.
Central
Central was a former local government region in Scotland that existed from 1975 to 1996, covering areas including Stirling, Falkirk, and Clackmannan.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9dba1081909154362b922a2417 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f24431c81908a25ad81c28da56d |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ff5a58881909987fa653e58a197 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.