Triple

T3356697
Position Surface form Disambiguated ID Type / Status
Subject Zurich Airport E70621 entity
Predicate ICAOcode P419 FINISHED
Object LSZH
LSZH is the ICAO airport code for Zurich Airport, the largest international airport in Switzerland and a major European aviation hub.
 E350853 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: LSZH | Statement: [Zurich Airport, ICAOcode, LSZH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSZH
Context triple: [Zurich Airport, ICAOcode, LSZH]
  • A. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • 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. Nomex
    Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
  • D. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • E. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • 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: LSZH
Triple: [Zurich Airport, ICAOcode, LSZH]
Generated description
LSZH is the ICAO airport code for Zurich Airport, the largest international airport in Switzerland and a major European aviation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSZH
Target entity description: LSZH is the ICAO airport code for Zurich Airport, the largest international airport in Switzerland and a major European aviation hub.
  • A. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • 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. Nomex
    Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
  • D. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • E. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.