Triple
T10585716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufthansa Cargo |
E249848
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
GEC
GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
|
E873239
|
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: GEC | Statement: [Lufthansa Cargo, ICAOCode, GEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEC Context triple: [Lufthansa Cargo, ICAOCode, GEC]
-
A.
GECF
GECF is an international organization that brings together major natural gas exporting countries to coordinate policies and promote cooperation in the global gas market.
-
B.
GECR
GECR is the commonly used abbreviation for Gimnasia y Esgrima de Comodoro Rivadavia, an Argentine sports club best known for its professional basketball team.
-
C.
GECE
GECE is the ICAO airport code assigned to Ceuta Heliport, a public heliport serving the Spanish autonomous city of Ceuta on the north coast of Africa.
-
D.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
E.
CGE
CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
- 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: GEC Triple: [Lufthansa Cargo, ICAOCode, GEC]
Generated description
GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEC Target entity description: GEC is the ICAO airline designator used by Lufthansa Cargo, the air freight division of Lufthansa.
-
A.
GECF
GECF is an international organization that brings together major natural gas exporting countries to coordinate policies and promote cooperation in the global gas market.
-
B.
GECR
GECR is the commonly used abbreviation for Gimnasia y Esgrima de Comodoro Rivadavia, an Argentine sports club best known for its professional basketball team.
-
C.
GECE
GECE is the ICAO airport code assigned to Ceuta Heliport, a public heliport serving the Spanish autonomous city of Ceuta on the north coast of Africa.
-
D.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
E.
CGE
CGE is a French association that brings together the country’s leading grandes écoles, representing elite higher education and research institutions.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527698be48190a2f5e573d7cc0661 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.