Triple
T3968777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City and County of Swansea |
E92278
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Uplands
Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
|
E401987
|
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: Uplands | Statement: [City and County of Swansea, contains, Uplands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uplands Context triple: [City and County of Swansea, contains, Uplands]
-
A.
The Uplands
The Uplands is a residential area in Runcorn, Cheshire, England, forming part of the wider local community near Palacefields.
-
B.
Twelve Oaks
Twelve Oaks is a film production company known for its involvement in the making of Terry Gilliam’s fantasy adventure film "The Adventures of Baron Munchausen."
-
C.
Bracken House
Bracken House is a notable London building best known as the historic and modern home of the Financial Times newspaper.
-
D.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
E.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
- 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: Uplands Triple: [City and County of Swansea, contains, Uplands]
Generated description
Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uplands Target entity description: Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
-
A.
The Uplands
The Uplands is a residential area in Runcorn, Cheshire, England, forming part of the wider local community near Palacefields.
-
B.
Twelve Oaks
Twelve Oaks is a film production company known for its involvement in the making of Terry Gilliam’s fantasy adventure film "The Adventures of Baron Munchausen."
-
C.
Bracken House
Bracken House is a notable London building best known as the historic and modern home of the Financial Times newspaper.
-
D.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
E.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533c39de881908916baaf8d8c6cd6 |
completed | March 14, 2026, 10:09 a.m. |
| NEDg | Description generation | batch_69b5345c9f388190ae03a7baafd2b4a2 |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534f4ca808190a02806f3b06c5b70 |
completed | March 14, 2026, 10:14 a.m. |
Created at: March 9, 2026, 3:32 p.m.