Triple
T10425591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Ridge |
E245776
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Buona Vista
Buona Vista is a district in western Singapore known for its technology hubs, research institutions, and mixed residential-commercial developments.
|
E862557
|
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: Buona Vista | Statement: [Kent Ridge, near, Buona Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buona Vista Context triple: [Kent Ridge, near, Buona Vista]
-
A.
Buena Vista
Buena Vista is a small city in Marion County, Georgia, known as a rural community in the west-central part of the state.
-
B.
Buena Vista
Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
-
C.
Buena Vista
Buena Vista is a small mountain town in central Colorado known for its outdoor recreation, especially whitewater rafting on the Arkansas River and access to the Collegiate Peaks.
-
D.
Crotonville
Crotonville is a small hamlet within the town of Ossining in Westchester County, New York.
-
E.
Red Hill
Red Hill is a historic plantation in Charlotte County, Virginia, best known as the last home and burial place of American patriot Patrick Henry.
- 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: Buona Vista Triple: [Kent Ridge, near, Buona Vista]
Generated description
Buona Vista is a district in western Singapore known for its technology hubs, research institutions, and mixed residential-commercial developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buona Vista Target entity description: Buona Vista is a district in western Singapore known for its technology hubs, research institutions, and mixed residential-commercial developments.
-
A.
Buena Vista
Buena Vista is a small city in Marion County, Georgia, known as a rural community in the west-central part of the state.
-
B.
Buena Vista
Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
-
C.
Buena Vista
Buena Vista is a small mountain town in central Colorado known for its outdoor recreation, especially whitewater rafting on the Arkansas River and access to the Collegiate Peaks.
-
D.
Crotonville
Crotonville is a small hamlet within the town of Ossining in Westchester County, New York.
-
E.
Red Hill
Red Hill is a historic plantation in Charlotte County, Virginia, best known as the last home and burial place of American patriot Patrick Henry.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea48cb348190ad4432f263300592 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2160208190b6384190d9537df4 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:12 p.m.