Triple
T13711078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minett region |
E328772
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gutland |
E349459
|
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: Gutland | Statement: [Minett region, partOf, Gutland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutland Context triple: [Minett region, partOf, Gutland]
-
A.
Gutland
chosen
Gutland is the fertile, more densely populated southern region of Luxembourg known for its agriculture and rolling landscapes.
-
B.
Land of Wursten
The Land of Wursten is a historic coastal region in northern Germany, traditionally inhabited by free Frisian peasants and later incorporated into various North German territorial states.
-
C.
Garwolin Land
Garwolin Land is a historical region in east-central Poland that formed part of the Masovian area during the era of the Polish–Lithuanian Commonwealth.
-
D.
Hageland
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
-
E.
Oniontown
Oniontown is a historic nickname for Wethersfield, Connecticut, reflecting its long-standing prominence in onion farming and trade.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d54a68081908df25edf6d5df362 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.