Triple
T16839009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban of Croatia |
E409355
|
entity |
| Predicate | hasStyle |
P1609
|
FINISHED |
| Object | Ban |
E912833
|
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: Ban | Statement: [Ban of Croatia, hasStyle, Ban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ban Context triple: [Ban of Croatia, hasStyle, Ban]
-
A.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
-
B.
Ban
chosen
Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
-
C.
Bar
Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
-
D.
Bar
Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
-
E.
Bal
Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34f902c8190a334ba7caa04ce7e |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb177e288190b525e6d239892d26 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.