Triple
T327887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva Airport |
E6559
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LSGG
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
|
E41843
|
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: LSGG | Statement: [Geneva Airport, ICAOcode, LSGG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSGG Context triple: [Geneva Airport, ICAOcode, LSGG]
-
A.
LPL
LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
-
B.
Lommel SK
Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
-
C.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
D.
FC Dila Gori
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
-
E.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
- 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: LSGG Triple: [Geneva Airport, ICAOcode, LSGG]
Generated description
LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSGG Target entity description: LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
-
A.
LPL
LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
-
B.
Lommel SK
Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
-
C.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
D.
FC Dila Gori
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
-
E.
LCC
LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfedb8a4819085970bddbd8ff9c1 |
completed | March 1, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69a3d0575f588190990388e957d78847 |
completed | March 1, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d0e13d3c8190b5618ddb66492f41 |
completed | March 1, 2026, 5:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.