Triple
T5084481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladybower Reservoir |
E114602
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bamford |
E132908
|
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: Bamford | Statement: [Ladybower Reservoir, locatedNear, Bamford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamford Context triple: [Ladybower Reservoir, locatedNear, Bamford]
-
A.
Bamford
chosen
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
-
B.
Bamford
Bamford is a suburban residential area and ward within the town of Rochdale in Greater Manchester, England.
-
C.
Wilford
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
-
D.
Benthall
Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
-
E.
Fielden
Fielden is an English surname historically associated with figures involved in labor activism and social reform.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75192d188190a7631bce5faf7de3 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb13a8be08190a0f1fc3aec224dde |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:40 p.m.