Triple
T2262805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAR Aerolíneas |
E50075
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
LCT
LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
|
E251767
|
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: LCT | Statement: [TAR Aerolíneas, ICAOCode, LCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LCT Context triple: [TAR Aerolíneas, ICAOCode, LCT]
-
A.
LCTES
LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
-
B.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
C.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
D.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
E.
L-root
L-root is one of the thirteen authoritative DNS root servers that form the core of the global Domain Name System infrastructure.
- 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: LCT Triple: [TAR Aerolíneas, ICAOCode, LCT]
Generated description
LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LCT Target entity description: LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
-
A.
LCTES
LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
-
B.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
-
C.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
D.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
E.
L-root
L-root is one of the thirteen authoritative DNS root servers that form the core of the global Domain Name System infrastructure.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18be8308190abc4a59d37dfd93a |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.