Triple
T7705849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlby |
E174613
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Carlby |
E174613
|
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: Carlby | Statement: [Carlby, civilParish, Carlby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlby Context triple: [Carlby, civilParish, Carlby]
-
A.
Carlby
chosen
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
B.
Coors Banquet
Coors Banquet is a classic American lager beer known for its rich, malty flavor and long association with the Coors brand and Western U.S. heritage.
-
C.
Bintang Beer
Bintang Beer is a popular Indonesian pale lager, often associated with the country’s major beer brand and widely consumed by locals and tourists alike.
-
D.
Busch beer
Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
-
E.
Bulmer
Bulmer is a small village and civil parish in North Yorkshire, England, known for its rural character and historic setting within the Ryedale district.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7028f17f0819081686ac146750d3a |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc088148190ba5ba07e4ad2284c |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:03 p.m.