Triple
T857622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cwmbran |
E18526
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
|
E107750
|
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: Fairwater | Statement: [Cwmbran, hasNeighbourhood, Fairwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairwater Context triple: [Cwmbran, hasNeighbourhood, Fairwater]
-
A.
Chelsea Creek
Chelsea Creek is a tidal waterway in the Boston area that serves as an important industrial and shipping channel between Chelsea and East Boston, Massachusetts.
-
B.
The Reservoir
The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
-
C.
Shoreline
Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
-
D.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
-
E.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
- 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: Fairwater Triple: [Cwmbran, hasNeighbourhood, Fairwater]
Generated description
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fairwater Target entity description: Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
A.
Chelsea Creek
Chelsea Creek is a tidal waterway in the Boston area that serves as an important industrial and shipping channel between Chelsea and East Boston, Massachusetts.
-
B.
The Reservoir
The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
-
C.
Shoreline
Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
-
D.
Stonehaven
Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
-
E.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4d47508190b48d944aa2d881bf |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf53ee748190b5a08bd7a6d0614c |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfbf8cf08190b41d4e322e1bc61c |
completed | March 4, 2026, 6:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d01bd97081909d176e8fbb096859 |
completed | March 4, 2026, 6:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.