Triple
T1018303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Moon |
E21981
|
entity |
| Predicate | laterOutcomeOfVoyage |
P23472
|
FINISHED |
| Object | contributed to Dutch claims in North America |
—
|
LITERAL FINISHED |
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: contributed to Dutch claims in North America | Statement: [Half Moon, laterOutcomeOfVoyage, contributed to Dutch claims in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterOutcomeOfVoyage Context triple: [Half Moon, laterOutcomeOfVoyage, contributed to Dutch claims in North America]
-
A.
purposeOfVoyages
Indicates the intended goals, reasons, or objectives motivating or justifying specific voyages.
-
B.
crewOutcome
Indicates the result or status experienced by a crew as a consequence of an event, action, or condition.
-
C.
placeOfSinking
Indicates the location where an object or entity sank or was submerged.
-
D.
shipwreckedOn
Indicates that an entity becomes stranded or marooned on a particular landmass or location as a result of a shipwreck.
-
E.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
- F. None of above. chosen
Provenance (4 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c6005081909d9e56114c532d14 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7a0d0308190a00192aa9062bdaa |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.