Triple
T12610600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Inn |
E301107
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | UK |
E732
|
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: UK | Statement: [New Inn, country, UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UK Context triple: [New Inn, country, UK]
-
A.
UK
UK is the stock ticker symbol for Union Carbide Corporation, a major American chemical and polymers company historically known for its industrial products and the Bhopal disaster.
-
B.
UK
UK is a common abbreviation for the Kentucky Wildcats football program, the intercollegiate football team representing the University of Kentucky.
-
C.
England
England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
-
D.
United Kingdom
chosen
The United Kingdom is a sovereign country in northwestern Europe comprising England, Scotland, Wales, and Northern Ireland, known for its parliamentary democracy, global cultural influence, and historic role in world affairs.
-
E.
Bretanha
Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecf3e248190868c1eb864191f8b |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:11 p.m.