Triple
T4267142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. R. Štefánik Airport |
E96851
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LZIB
LZIB is the ICAO airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
|
E425594
|
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: LZIB | Statement: [M. R. Štefánik Airport, ICAOcode, LZIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LZIB Context triple: [M. R. Štefánik Airport, ICAOcode, LZIB]
-
A.
LZA
LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
-
B.
LZ 4
LZ 4 was an early experimental German rigid airship built by Count Zeppelin that became famous after its 1908 crash and fire, which nonetheless spurred public support for further airship development.
-
C.
LZB
LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
-
D.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
-
E.
lzip
lzip is a lossless data compression program and file format known for its high compression ratios, data integrity features, and use in software distribution archives.
- 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: LZIB Triple: [M. R. Štefánik Airport, ICAOcode, LZIB]
Generated description
LZIB is the ICAO airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LZIB Target entity description: LZIB is the ICAO airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
-
A.
LZA
LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
-
B.
LZ 4
LZ 4 was an early experimental German rigid airship built by Count Zeppelin that became famous after its 1908 crash and fire, which nonetheless spurred public support for further airship development.
-
C.
LZB
LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
-
D.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
-
E.
lzip
lzip is a lossless data compression program and file format known for its high compression ratios, data integrity features, and use in software distribution archives.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b79992a08190b614a89aa36cf674 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b820ba7481909fbe7685a353ef51 |
completed | March 14, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b881c80081909af084ff4b43b01e |
completed | March 14, 2026, 7:35 p.m. |
Created at: March 12, 2026, 11:07 p.m.