Triple
T9749321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châteauroux-Centre "Marcel Dassault" Airport |
E236398
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LFLX
LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
|
E819038
|
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: LFLX | Statement: [Châteauroux-Centre "Marcel Dassault" Airport, ICAOcode, LFLX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFLX Context triple: [Châteauroux-Centre "Marcel Dassault" Airport, ICAOcode, LFLX]
-
A.
LFLC
LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
-
B.
LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
-
C.
LFL
LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
-
D.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
-
E.
LFA
LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
- 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: LFLX Triple: [Châteauroux-Centre "Marcel Dassault" Airport, ICAOcode, LFLX]
Generated description
LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LFLX Target entity description: LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
-
A.
LFLC
LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
-
B.
LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
-
C.
LFL
LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
-
D.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
-
E.
LFA
LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6a2f8c8190a6f6af6587ee90b8 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b01678f88190900a941b9d111c58 |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b13a7b0c8190a526bffdc4caf73d |
completed | April 5, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1cdc91481908e98c4d5cdec785b |
completed | April 5, 2026, 12:50 a.m. |
Created at: March 30, 2026, 8:23 p.m.