Triple
T20829111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenstone |
E512779
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Jellicoe |
—
|
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: Jellicoe | Statement: [Greenstone, hasCommunity, Jellicoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jellicoe Context triple: [Greenstone, hasCommunity, Jellicoe]
-
A.
Jellicoe
chosen
Jellicoe is a small rural community within the Township of Greenstone in northern Ontario, Canada.
-
B.
Lord Jellicoe
Lord Jellicoe was a British Royal Navy admiral best known for commanding the Grand Fleet at the Battle of Jutland during World War I and later serving in senior naval and imperial administrative roles.
-
C.
Pellew
Pellew is a surname most notably associated with Edward Pellew, a distinguished British Royal Navy officer of the late 18th and early 19th centuries.
-
D.
Admiral Alexander Hood
Admiral Alexander Hood was a prominent late 18th-century British naval officer and peer, noted for his leadership in major fleet actions against Revolutionary France.
-
E.
Admiral Grant
Admiral Grant is a fictional high-ranking naval officer portrayed by actor John Amos.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.