Triple
T6133240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Caribbean Cruises Ltd. |
E136768
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
RCL
RCL is the stock ticker symbol for Royal Caribbean Cruises Ltd., a major global cruise line operator.
|
E571985
|
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: RCL | Statement: [Royal Caribbean Cruises Ltd., tickerSymbol, RCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCL Context triple: [Royal Caribbean Cruises Ltd., tickerSymbol, RCL]
-
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.
LCR
LCR is the commonly used abbreviation for the Leeds City Region, a major economic and metropolitan area in West Yorkshire, England.
-
C.
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.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
CRCL
CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
- 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: RCL Triple: [Royal Caribbean Cruises Ltd., tickerSymbol, RCL]
Generated description
RCL is the stock ticker symbol for Royal Caribbean Cruises Ltd., a major global cruise line operator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCL Target entity description: RCL is the stock ticker symbol for Royal Caribbean Cruises Ltd., a major global cruise line operator.
-
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.
LCR
LCR is the commonly used abbreviation for the Leeds City Region, a major economic and metropolitan area in West Yorkshire, England.
-
C.
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.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
CRCL
CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c509848819089a2b2b58744bc25 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135d75a588190a565026498bcce57 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c137fb40e881909bdbd776c55a1f51 |
completed | March 23, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1387a38788190b8cf2b04e5eeb5e3 |
completed | March 23, 2026, 12:56 p.m. |
Created at: March 22, 2026, 4:15 p.m.