Triple
T6107766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Cola |
E136157
|
entity |
| Predicate | hasSugarFreeVersion |
P52605
|
FINISHED |
| Object | Diet RC |
E568818
|
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: Diet RC | Statement: [RC Cola, hasSugarFreeVersion, Diet RC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diet RC Context triple: [RC Cola, hasSugarFreeVersion, Diet RC]
-
A.
Diet RC
chosen
Diet RC is the sugar-free, low-calorie version of RC Cola designed as a diet soft drink alternative.
-
B.
The Diet
The Diet is Japan’s bicameral national legislature, consisting of the House of Representatives and the House of Councillors, responsible for making laws and selecting the Prime Minister.
-
C.
Dietz
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
-
D.
EAT/DIE
EAT/DIE is a conceptual artwork by American artist Robert Indiana that juxtaposes the words “EAT” and “DIE” to explore themes of consumption, mortality, and American culture.
-
E.
Dizzasco
Dizzasco is a small municipality in the Lombardy region of northern Italy, situated in the scenic Valle d’Intelvi near Lake Como.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13598c54c8190b3701de83005875c |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:13 p.m.