Triple
T21981273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Explorer OL4 |
E542845
|
entity |
| Predicate | coverageArea |
P82
|
FINISHED |
| Object | Catbells |
—
|
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: Catbells | Statement: [OS Explorer OL4, coverageArea, Catbells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catbells Context triple: [OS Explorer OL4, coverageArea, Catbells]
-
A.
Catbells
chosen
Catbells is a popular, modest fell in England’s Lake District known for its scenic views over Derwentwater and accessibility to walkers of all abilities.
-
B.
Bells and Spells
Bells and Spells is a whimsical, surreal stage show blending physical theatre, mime, and illusion, created and performed by French artist Aurélia Thierrée.
-
C.
Catspaw
Catspaw is a 2021 power-pop/rock album by American singer-songwriter Matthew Sweet, noted for its guitar-driven sound and introspective songwriting.
-
D.
Howling Bells
Howling Bells is an Australian indie rock band known for its dark, atmospheric sound and haunting female vocals.
-
E.
The Blue Cat
The Blue Cat is a children’s fantasy book by American poet and writer Franklin D’Olier Reeve, known for its whimsical storytelling and imaginative 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248de3688190a8d24cc8458851f2 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:04 p.m.