Triple
T7518953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cluj International Airport |
E177717
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LRCL
LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
|
E670455
|
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: LRCL | Statement: [Cluj International Airport, ICAOcode, LRCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LRCL Context triple: [Cluj International Airport, ICAOcode, LRCL]
-
A.
RCL
RCL is the stock ticker symbol for Royal Caribbean Cruises Ltd., a major global cruise line operator.
-
B.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
C.
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.
-
D.
LDCL
LDCL is the stock ticker symbol under which Loudcloud, a former cloud services and web hosting company, was traded on public markets.
-
E.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
- 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: LRCL Triple: [Cluj International Airport, ICAOcode, LRCL]
Generated description
LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LRCL Target entity description: LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
-
A.
RCL
RCL is the stock ticker symbol for Royal Caribbean Cruises Ltd., a major global cruise line operator.
-
B.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
C.
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.
-
D.
LDCL
LDCL is the stock ticker symbol under which Loudcloud, a former cloud services and web hosting company, was traded on public markets.
-
E.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f850c081909e697219071293fc |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462610b481909fa74023852b0154 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c8471da6c481909b48db7ad6e9426d |
completed | March 28, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c848026e90819098d0b419101f91e1 |
completed | March 28, 2026, 9:28 p.m. |
Created at: March 27, 2026, 3:46 p.m.