Triple
T5698345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufthansa CityLine |
E125595
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
HANS
HANS is the radio callsign used by Lufthansa CityLine, a regional airline within the Lufthansa Group.
|
E539214
|
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: HANS | Statement: [Lufthansa CityLine, callsign, HANS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HANS Context triple: [Lufthansa CityLine, callsign, HANS]
-
A.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
-
B.
Hansson
Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Han
Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
-
D.
Han
Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
-
E.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
- 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: HANS Triple: [Lufthansa CityLine, callsign, HANS]
Generated description
HANS is the radio callsign used by Lufthansa CityLine, a regional airline within the Lufthansa Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HANS Target entity description: HANS is the radio callsign used by Lufthansa CityLine, a regional airline within the Lufthansa Group.
-
A.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
-
B.
Hansson
Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Han
Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
-
D.
Han
Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
-
E.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240ecef48190bdef10b38ecb2bd0 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5996a08190860cb5fab57c31b5 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.