Triple
T2337513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg Airport |
E44344
|
entity |
| Predicate | isBaseFor |
P2421
|
FINISHED |
| Object |
Condor
Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
|
E258721
|
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: Condor | Statement: [Hamburg Airport, isBaseFor, Condor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condor Context triple: [Hamburg Airport, isBaseFor, Condor]
-
A.
Hawk
The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
-
B.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
-
C.
Kestrel
Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
-
D.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
E.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
- 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: Condor Triple: [Hamburg Airport, isBaseFor, Condor]
Generated description
Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Condor Target entity description: Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
-
A.
Hawk
The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
-
B.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
-
C.
Kestrel
Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
-
D.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
E.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc68ac4348190ab6ec46ec7879643 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae961adfdc8190bf79d479d8207599 |
completed | March 9, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ae97406c588190855ecb6c9ed00bc9 |
completed | March 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae97c82e8c8190a613444ea4ffb5a0 |
completed | March 9, 2026, 9:50 a.m. |
Created at: March 4, 2026, 7:51 p.m.