Triple
T20287513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wordsworth Trust |
E509925
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Grasmere |
—
|
NE NERFINISHED |
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: Grasmere | Statement: [Wordsworth Trust, locatedIn, Grasmere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grasmere Context triple: [Wordsworth Trust, locatedIn, Grasmere]
-
A.
Grasmere
chosen
Grasmere is a picturesque village and lake in England’s Lake District, famed for its association with poet William Wordsworth and its scenic surroundings.
-
B.
Grasmere
Grasmere is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to a namesake lake.
-
C.
Wedgemere
Wedgemere is a commuter rail station in Winchester, Massachusetts, served by the MBTA on its Lowell Line.
-
D.
Grasmere Lake
Grasmere Lake is a picturesque small lake in England’s Lake District, renowned for its scenic beauty and association with the poet William Wordsworth.
-
E.
Hawkshead
Hawkshead is a historic village in England’s Lake District, known for its picturesque streets, literary connections to Beatrix Potter and William Wordsworth, and traditional Cumbrian charm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:08 a.m.