Triple
T6107776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Cola |
E136157
|
entity |
| Predicate | hasLogoText |
P3623
|
FINISHED |
| Object |
RC
RC is a brand of cola soft drink, best known as Royal Crown Cola, that serves as a long-standing alternative to major competitors like Coca-Cola and Pepsi.
|
E568822
|
NE FINISHED |
How this triple was built (4 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: RC | Statement: [RC Cola, hasLogoText, RC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RC Context triple: [RC Cola, hasLogoText, RC]
-
A.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
B.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
C.
RIC
RIC is the standard abbreviation used for the Richmond Flying Squirrels, a Minor League Baseball team based in Richmond, Virginia.
-
D.
RIC
RIC is a regulatory information circular or compliance framework reference used in the context of U.S. maritime safety and towing vessel regulations under Subchapter M.
-
E.
RIC
RIC is the three-letter IATA airport code for Richmond International Airport, serving the Richmond, Virginia metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RC Triple: [RC Cola, hasLogoText, RC]
Generated description
RC is a brand of cola soft drink, best known as Royal Crown Cola, that serves as a long-standing alternative to major competitors like Coca-Cola and Pepsi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RC Target entity description: RC is a brand of cola soft drink, best known as Royal Crown Cola, that serves as a long-standing alternative to major competitors like Coca-Cola and Pepsi.
-
A.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
B.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
C.
RIC
RIC is the standard abbreviation used for the Richmond Flying Squirrels, a Minor League Baseball team based in Richmond, Virginia.
-
D.
RIC
RIC is a regulatory information circular or compliance framework reference used in the context of U.S. maritime safety and towing vessel regulations under Subchapter M.
-
E.
RIC
RIC is the three-letter IATA airport code for Richmond International Airport, serving the Richmond, Virginia metropolitan area.
- F. None of above. chosen
Provenance (5 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_69c1255b27a88190b45b664a2ba41166 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125ede4f88190989a5a40accd2745 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1268ffc7481909a9bd2be039dbf45 |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:13 p.m.