Triple
T5413415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rzeszów–Jasionka Airport |
E121065
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EPRZ
EPRZ is the ICAO airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
|
E519154
|
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: EPRZ | Statement: [Rzeszów–Jasionka Airport, ICAOcode, EPRZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPRZ Context triple: [Rzeszów–Jasionka Airport, ICAOcode, EPRZ]
-
A.
ERZ
ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
-
B.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
C.
EPRG
EPRG is a research group focused on analyzing and informing energy and environmental policy, often through interdisciplinary economic and policy studies.
-
D.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
-
E.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
- 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: EPRZ Triple: [Rzeszów–Jasionka Airport, ICAOcode, EPRZ]
Generated description
EPRZ is the ICAO airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EPRZ Target entity description: EPRZ is the ICAO airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
-
A.
ERZ
ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
-
B.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
C.
EPRG
EPRG is a research group focused on analyzing and informing energy and environmental policy, often through interdisciplinary economic and policy studies.
-
D.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
-
E.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bb3c0c81908711784bc865ff03 |
completed | March 20, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3aa3e1988190ac484c91022dc08b |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3c633640819089cbd2985a1f6479 |
completed | March 22, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3cb3432c8190ab0e59843144fc75 |
completed | March 22, 2026, 12:49 a.m. |
Created at: March 20, 2026, 2:05 p.m.