Triple
T22728065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky View County |
E562050
|
entity |
| Predicate | hasLeaderTitle |
P301
|
FINISHED |
| Object | Reeve |
—
|
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: Reeve | Statement: [Rocky View County, hasLeaderTitle, Reeve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reeve Context triple: [Rocky View County, hasLeaderTitle, Reeve]
-
A.
Reeve
Reeve is the given name of Reeve Lindbergh, an American author and the daughter of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
B.
Reeve
Reeve is a surname most famously associated with American actor Christopher Reeve, renowned for his iconic portrayal of Superman.
-
C.
Reeve
chosen
A reeve is the elected head of the council in certain Canadian rural municipalities, functioning similarly to a mayor.
-
D.
Reeve
The Reeve is a shrewd, irritable estate manager and skilled carpenter who appears as one of the pilgrims and storytellers in Geoffrey Chaucer’s The Canterbury Tales.
-
E.
Reeves
Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792b22cc819099aa00bb2dbacce3 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.