Triple
T23109888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidente Perón International Airport |
E576286
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SAZN
SAZN is the ICAO airport code for Presidente Perón International Airport in Neuquén, Argentina.
|
E1570652
|
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: SAZN | Statement: [Presidente Perón International Airport, ICAOcode, SAZN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAZN Context triple: [Presidente Perón International Airport, ICAOcode, SAZN]
-
A.
SAZU
SAZU is the national academy of sciences and arts of Slovenia, serving as the country’s leading scholarly and artistic institution.
-
B.
SAZS
SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
-
C.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
D.
SŽ
SŽ is the Czech national railway infrastructure manager responsible for operating, maintaining, and developing the country’s railway network.
-
E.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
- 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: SAZN Triple: [Presidente Perón International Airport, ICAOcode, SAZN]
Generated description
SAZN is the ICAO airport code for Presidente Perón International Airport in Neuquén, Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAZN Target entity description: SAZN is the ICAO airport code for Presidente Perón International Airport in Neuquén, Argentina.
-
A.
SAZU
SAZU is the national academy of sciences and arts of Slovenia, serving as the country’s leading scholarly and artistic institution.
-
B.
SAZS
SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
-
C.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
D.
SŽ
SŽ is the Czech national railway infrastructure manager responsible for operating, maintaining, and developing the country’s railway network.
-
E.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0e58308190a355de3ae81dd510 |
completed | April 29, 2026, 4:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23e7fdec8190a7ac3e8f18e677d8 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:58 p.m.