Triple
T662604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faro Airport |
E11788
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LPFR
LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
|
E82969
|
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: LPFR | Statement: [Faro Airport, ICAOcode, LPFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LPFR Context triple: [Faro Airport, ICAOcode, LPFR]
-
A.
LFPG
LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
-
B.
LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
-
C.
LFPO
LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
D.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
E.
FRS
FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
- 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: LPFR Triple: [Faro Airport, ICAOcode, LPFR]
Generated description
LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LPFR Target entity description: LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
-
A.
LFPG
LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
-
B.
LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
-
C.
LFPO
LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
D.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
E.
FRS
FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c398cc748190ab720263096064ef |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c4523e8081909464ca227b880e77 |
completed | March 2, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cdae65808190b7191f63d5f16d9f |
completed | March 2, 2026, 5:49 p.m. |
Created at: March 1, 2026, 7:36 p.m.