Triple
T20175325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirland |
E492075
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stonebroom |
—
|
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: Stonebroom | Statement: [Shirland, hasPart, Stonebroom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stonebroom Context triple: [Shirland, hasPart, Stonebroom]
-
A.
Stonebroom
chosen
Stonebroom is a village in Derbyshire, England, known as a small former mining community in the East Midlands.
-
B.
Brimble
Brimble is an English surname most notably associated with actor Nick Brimble, known for his work in film and television.
-
C.
Onchesmos
Onchesmos was an ancient Greek port city in Epirus, located where the modern Albanian coastal city of Saranda now stands.
-
D.
Blumine
Blumine is an early, lyrical movement originally composed by Gustav Mahler for his Symphony No. 1 in D major, later removed and often performed as a standalone piece.
-
E.
Orgelet
Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668eaa3b88190bef4f2db0125fdfc |
completed | April 20, 2026, 5:56 p.m. |
Created at: April 11, 2026, 11:36 p.m.