Triple
T14824744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XXXX Brewery |
E348541
|
entity |
| Predicate | produces |
P490
|
FINISHED |
| Object | XXXX Bitter |
E1122970
|
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: XXXX Bitter | Statement: [XXXX Brewery, produces, XXXX Bitter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XXXX Bitter Context triple: [XXXX Brewery, produces, XXXX Bitter]
-
A.
XXXX Bitter
chosen
XXXX Bitter is a popular Australian lager beer brand produced by Castlemaine Perkins Brewery, widely associated with Queensland drinking culture.
-
B.
XXXX Bitter production
XXXX Bitter production refers to the brewing and distribution of XXXX Bitter, a popular Australian lager-style beer closely associated with Queensland and widely recognized as one of the country’s iconic mass-market beers.
-
C.
Bitter
Bitter is a surname of German origin borne by various notable individuals, including sculptor Karl Bitter.
-
D.
Bitter Sweet
"Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
-
E.
Bitter Sweet
Bitter Sweet is a 1929 operetta by Noël Coward, known for its romantic storyline and memorable songs set against an early 20th-century European backdrop.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe7a8dc8190bcb5ecfa1cbf1601 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b495800819091c7e1636514222a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:51 a.m.