Triple
T5030584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Cuijk |
E113289
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Beers |
E113277
|
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: Beers | Statement: [Land van Cuijk, containsSettlement, Beers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beers Context triple: [Land van Cuijk, containsSettlement, Beers]
-
A.
Beers
chosen
Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
-
B.
Ales
Ales is the given name of Ales Bialiatski, a prominent Belarusian human rights activist and Nobel Peace Prize laureate.
-
C.
Beery
Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
-
D.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
E.
BEERology
BEERology is a museum exhibition that explores the cultural history, science, and global traditions of beer and brewing.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73922a4c81908651c2d9b5e01cb6 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c6859a88190bbf5688812f2eb91 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.