Triple
T6129654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Juet |
E136679
|
entity |
| Predicate | shipServedOn |
P12804
|
FINISHED |
| Object | Halve Maen |
E3502
|
NE 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: Halve Maen | Statement: [Robert Juet, shipServedOn, Halve Maen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halve Maen Context triple: [Robert Juet, shipServedOn, Halve Maen]
-
A.
Halve Maen
chosen
Halve Maen was a Dutch East India Company ship best known for carrying English explorer Henry Hudson on his 1609 voyage that led to the European exploration of the river now called the Hudson River.
-
B.
Langeland
Langeland is a Danish island in the South Funen Archipelago, known for its rural landscapes, coastal scenery, and historical villages.
-
C.
Großbothen
Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
-
D.
Amrum
Amrum is a North Frisian island in the North Sea known for its wide sandy beaches, dunes, and traditional thatched-roof villages.
-
E.
Møn
Møn is a Danish island in the Baltic Sea known for its dramatic white chalk cliffs, scenic landscapes, and rich prehistoric and cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4c8570819096dc87f0de2a9887 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135d080808190938e3a1095080850 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.