Triple
T14325596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angers – Loire Airport |
E355206
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LFJR
LFJR is the ICAO airport code for Angers – Loire Airport in western France.
|
E1093393
|
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: LFJR | Statement: [Angers – Loire Airport, ICAOcode, LFJR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFJR Context triple: [Angers – Loire Airport, ICAOcode, LFJR]
-
A.
LFRJ
LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
-
B.
LF
LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
-
C.
LF
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
-
D.
FJL
FJL is the ICAO airline designator assigned to Fly Jinnah, a Pakistani low-cost carrier.
-
E.
LFKJ
LFKJ is the ICAO airport code for Ajaccio Napoleon Bonaparte Airport, the main air gateway to the city of Ajaccio on the French island of Corsica.
- 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: LFJR Triple: [Angers – Loire Airport, ICAOcode, LFJR]
Generated description
LFJR is the ICAO airport code for Angers – Loire Airport in western France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LFJR Target entity description: LFJR is the ICAO airport code for Angers – Loire Airport in western France.
-
A.
LFRJ
LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
-
B.
LF
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
-
C.
LF
LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
-
D.
FJL
FJL is the ICAO airline designator assigned to Fly Jinnah, a Pakistani low-cost carrier.
-
E.
LFKJ
LFKJ is the ICAO airport code for Ajaccio Napoleon Bonaparte Airport, the main air gateway to the city of Ajaccio on the French island of Corsica.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4690a79c819099cc4ae9a10ba0db |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47bbc5e081908aa8b0e76661234f |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4840f0688190975d8c3c7eefb132 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:13 a.m.