Triple
T20831990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Airlines |
E512851
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HZ
HZ is the IATA airline designator assigned to Aurora Airlines, a Russian regional carrier.
|
E1451930
|
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: HZ | Statement: [Aurora Airlines, IATAcode, HZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HZ Context triple: [Aurora Airlines, IATAcode, HZ]
-
A.
HZ
HZ is the vehicle registration code assigned to the town of Thale in Germany.
-
B.
HZ
HZ is the vehicle registration code used on license plates for the German town of Halberstadt.
-
C.
ZH
ZH is the provincial code for Zuid-Holland, a densely populated and economically important province in the western Netherlands that includes cities like Rotterdam and The Hague.
-
D.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
E.
HZI
HZI is a leading German research center focused on understanding infectious diseases and developing new strategies for their prevention, diagnosis, and treatment.
- 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: HZ Triple: [Aurora Airlines, IATAcode, HZ]
Generated description
HZ is the IATA airline designator assigned to Aurora Airlines, a Russian regional carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HZ Target entity description: HZ is the IATA airline designator assigned to Aurora Airlines, a Russian regional carrier.
-
A.
HZ
HZ is the vehicle registration code assigned to the town of Thale in Germany.
-
B.
HZ
HZ is the vehicle registration code used on license plates for the German town of Halberstadt.
-
C.
ZH
ZH is the provincial code for Zuid-Holland, a densely populated and economically important province in the western Netherlands that includes cities like Rotterdam and The Hague.
-
D.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
E.
HZI
HZI is a leading German research center focused on understanding infectious diseases and developing new strategies for their prevention, diagnosis, and treatment.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0900826cf88190a04f2d25a4bb20b8 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090129cbc88190b72be66b1453d4ac |
completed | May 16, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901950c1c8190befa72dc20236b9e |
completed | May 16, 2026, 11:45 p.m. |
Created at: April 16, 2026, 12:42 p.m.