Triple
T20114299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry of Nassau-Siegen |
E490413
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Nassau |
—
|
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: Nassau | Statement: [Henry of Nassau-Siegen, region, Nassau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassau Context triple: [Henry of Nassau-Siegen, region, Nassau]
-
A.
Nassau
Nassau is the largest city and main commercial and cultural center of the Bahamas, located on New Providence Island.
-
B.
Nassau
chosen
Nassau is a historic region in western Germany that gave its name to a prominent European noble house and later influenced the naming of the Bahamas’ capital city.
-
C.
Nassau
Nassau is a small, remote coral island in the northern Cook Islands known for its traditional Polynesian community and subsistence lifestyle.
-
D.
Nassau, New York
Nassau, New York is a small town in eastern New York State known for its rural character and location within Rensselaer County near the Massachusetts border.
-
E.
Freeport, Bahamas
Freeport, Bahamas is the main city on Grand Bahama Island, known as a major commercial and tourist hub featuring resorts, beaches, and a large cruise port.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.