Triple
T22408175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Anglo-Dutch War |
E553929
|
entity |
| Predicate | hasCause |
P708
|
FINISHED |
| Object | Navigation Acts |
—
|
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: Navigation Acts | Statement: [Second Anglo-Dutch War, hasCause, Navigation Acts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navigation Acts Context triple: [Second Anglo-Dutch War, hasCause, Navigation Acts]
-
A.
Navigation Acts
chosen
The Navigation Acts were a series of 17th-century English laws that regulated colonial trade to strengthen national shipping and ensure that commerce with the colonies benefited England.
-
B.
Don Navigation
Don Navigation is a canalised section of the River Don in South Yorkshire, England, forming part of the region’s historic inland waterway network for commercial and leisure boating.
-
C.
GO Navigator
GO Navigator is a SpaceX recovery vessel used to retrieve Crew Dragon spacecraft and astronauts after ocean splashdowns.
-
D.
NAV
NAV is Norway’s public agency responsible for administering social security, welfare benefits, and employment services.
-
E.
NAV
NAV is the stock ticker symbol for Navistar International Corporation, an American manufacturer of commercial trucks, buses, and diesel engines.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158badc008190a3f5afb520a25e5f |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.