Triple
T6937440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagreb Franjo Tuđman Airport |
E160587
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
MZLZ d.d.
MZLZ d.d. is the company responsible for managing and operating Zagreb Franjo Tuđman Airport, Croatia’s main international airport.
|
E629387
|
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: MZLZ d.d. | Statement: [Zagreb Franjo Tuđman Airport, operator, MZLZ d.d.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MZLZ d.d. Context triple: [Zagreb Franjo Tuđman Airport, operator, MZLZ d.d.]
-
A.
MZLA Technologies Corporation
MZLA Technologies Corporation is the Mozilla-affiliated company responsible for developing and maintaining the Thunderbird email client.
-
B.
ZL
ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
-
C.
doMEn d.o.o.
doMEn d.o.o. is the Montenegrin company responsible for operating and managing the .me internet country-code top-level domain.
-
D.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
E.
MZG
MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
- 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: MZLZ d.d. Triple: [Zagreb Franjo Tuđman Airport, operator, MZLZ d.d.]
Generated description
MZLZ d.d. is the company responsible for managing and operating Zagreb Franjo Tuđman Airport, Croatia’s main international airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MZLZ d.d. Target entity description: MZLZ d.d. is the company responsible for managing and operating Zagreb Franjo Tuđman Airport, Croatia’s main international airport.
-
A.
MZLA Technologies Corporation
MZLA Technologies Corporation is the Mozilla-affiliated company responsible for developing and maintaining the Thunderbird email client.
-
B.
ZL
ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
-
C.
doMEn d.o.o.
doMEn d.o.o. is the Montenegrin company responsible for operating and managing the .me internet country-code top-level domain.
-
D.
MLC Limited
MLC Limited is a major Australian wealth management and insurance company that provides investment, superannuation, and financial advice services.
-
E.
MZG
MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da606328819095eb852f7a0842dc |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7515509148190b5739cdf8cd7a28a |
completed | March 28, 2026, 3:56 a.m. |
| NEDg | Description generation | batch_69c752c9b3d08190960d3c1aa88a93a7 |
completed | March 28, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7537ea24c819081bb672d43d4a373 |
completed | March 28, 2026, 4:05 a.m. |
Created at: March 27, 2026, 2:27 p.m.