Triple
T2823611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torfaen |
E54866
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Fairwater |
E107750
|
NE FINISHED |
How this triple was built (2 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: [Torfaen, containsSettlement, Fairwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairwater Context triple: [Torfaen, containsSettlement, Fairwater]
-
A.
Fairwater
chosen
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
B.
Riverview
Riverview is a suburban town located across the Petitcodiac River from Moncton in southeastern New Brunswick, Canada.
-
C.
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.
-
D.
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.
-
E.
Waterfront
The Waterfront is a Boston neighborhood along the harbor known for its maritime history, scenic views, and mix of residential, commercial, and tourist destinations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afcead12588190bfbb2c9e93b05e0d |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.