Triple
T20175326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirland |
E492075
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mickley |
—
|
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: Mickley | Statement: [Shirland, hasPart, Mickley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickley Context triple: [Shirland, hasPart, Mickley]
-
A.
Balsley
Balsley is a surname most notably associated with Phil Balsley, the baritone singer of the American country and gospel group The Statler Brothers.
-
B.
Durkee
Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
-
C.
Mattersey
Mattersey is a small village and civil parish in Nottinghamshire, England, known for its rural setting and historic priory remains.
-
D.
Midgley
chosen
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
-
E.
Montignez
Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
- 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.