Triple
T7751457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Island |
E175772
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Central
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.
|
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: [Hong Kong Island, containsSettlement, Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Context triple: [Hong Kong Island, containsSettlement, Central]
-
A.
Central
Central is the standard map abbreviation used to denote the Central line, one of the primary east–west routes on the London Underground.
-
B.
Central
Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
-
C.
Central
Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
-
D.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
E.
Center
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
- 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: [Hong Kong Island, containsSettlement, Central]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Target entity description: 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.
-
A.
Central
Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
-
B.
Central
Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
-
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.
Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
-
E.
Center
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b382588190ad8dc7138987829a |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be576274819092e5ebdbcf2361da |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bf141c8081908c33dab4d90943b0 |
completed | March 29, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bf8c4bdc81909c74f7b4ec524177 |
completed | March 29, 2026, 5:58 a.m. |
Created at: March 27, 2026, 4:08 p.m.