Triple
T19124681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluewater Shopping Centre |
E468144
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
The Plaza
The Plaza is a dedicated retail and leisure area within the Bluewater Shopping Centre, featuring a range of shops, dining options, and visitor amenities.
|
E1359520
|
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: The Plaza | Statement: [Bluewater Shopping Centre, hasSection, The Plaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Plaza Context triple: [Bluewater Shopping Centre, hasSection, The Plaza]
-
A.
The Plaza
The Plaza is a legendary luxury hotel in New York City, renowned for its opulent architecture, historic significance, and frequent appearances in popular culture.
-
B.
Plaza
Plaza is a Canadian R&B singer and songwriter known for his atmospheric, moody sound and releases under Drake’s OVO Sound label.
-
C.
Ho Plaza
Ho Plaza is a central pedestrian thoroughfare and gathering space on Cornell University’s campus, often used for student activities and events.
-
D.
Plaza Central
Plaza Central is the main historic square in Guatemala City, serving as the civic and cultural heart of the capital.
-
E.
Plaza 66
Plaza 66 is a prominent luxury shopping and office complex in Shanghai, China, known for its high-end retail stores and distinctive skyscraper towers.
- 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: The Plaza Triple: [Bluewater Shopping Centre, hasSection, The Plaza]
Generated description
The Plaza is a dedicated retail and leisure area within the Bluewater Shopping Centre, featuring a range of shops, dining options, and visitor amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Plaza Target entity description: The Plaza is a dedicated retail and leisure area within the Bluewater Shopping Centre, featuring a range of shops, dining options, and visitor amenities.
-
A.
The Plaza
The Plaza is a legendary luxury hotel in New York City, renowned for its opulent architecture, historic significance, and frequent appearances in popular culture.
-
B.
Plaza
Plaza is a Canadian R&B singer and songwriter known for his atmospheric, moody sound and releases under Drake’s OVO Sound label.
-
C.
Ho Plaza
Ho Plaza is a central pedestrian thoroughfare and gathering space on Cornell University’s campus, often used for student activities and events.
-
D.
Plaza Central
Plaza Central is the main historic square in Guatemala City, serving as the civic and cultural heart of the capital.
-
E.
Plaza 66
Plaza 66 is a prominent luxury shopping and office complex in Shanghai, China, known for its high-end retail stores and distinctive skyscraper towers.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cb9d6c81908a8706c1f33a6378 |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67868a481909f419d68c2e5f6bb |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e74c4a248190b4e02f0c0d53f904 |
completed | May 14, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e84cbbac8190aa3e935e67cac797 |
completed | May 14, 2026, 3:20 p.m. |
Created at: April 10, 2026, 12:05 p.m.