Triple
T10703719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAN Landivisiau |
E252345
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
LFRJ
LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
|
E880307
|
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: LFRJ | Statement: [BAN Landivisiau, ICAOCode, LFRJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFRJ Context triple: [BAN Landivisiau, ICAOCode, LFRJ]
-
A.
LFRS
LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
-
B.
RJFR
RJFR is the ICAO airport code for Tsuiki Air Base, a Japan Air Self-Defense Force installation in Fukuoka Prefecture, Japan.
-
C.
LFRL
LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
-
D.
LPFR
LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
-
E.
FRF
FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
- 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: LFRJ Triple: [BAN Landivisiau, ICAOCode, LFRJ]
Generated description
LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LFRJ Target entity description: LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
-
A.
LFRS
LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
-
B.
RJFR
RJFR is the ICAO airport code for Tsuiki Air Base, a Japan Air Self-Defense Force installation in Fukuoka Prefecture, Japan.
-
C.
LFRL
LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
-
D.
LPFR
LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
-
E.
FRF
FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fdddf258819097b9fd26d68cd2e4 |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998f5cda081909932daa3c98f8b46 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69da625a1e8c8190b282e7a70bb7c876 |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 8, 2026, 9:12 p.m.