Triple
T42404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Flag |
E835
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object | GB |
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: GB | Statement: [Union Flag, ISOCode, GB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GB Context triple: [Union Flag, ISOCode, GB]
-
A.
England
England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
-
B.
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.
-
C.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
D.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
E.
Germany
Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ae236548190bd225d125f23e6c7 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e63a9848190a0f38b23521804e6 |
completed | Feb. 28, 2026, 2:09 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.