Triple

T3765963
Position Surface form Disambiguated ID Type / Status
Subject TGV POS E82676 entity
Predicate safetySystem P840 FINISHED
Object LZB
LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
 E386839 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: LZB | Statement: [TGV POS, safetySystem, LZB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LZB
Context triple: [TGV POS, safetySystem, LZB]
  • 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. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • C. 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.
  • D. LZ 1
    LZ 1 was the first experimental rigid airship built by Count Ferdinand von Zeppelin, marking the beginning of the Zeppelin era in aviation.
  • 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: LZB
Triple: [TGV POS, safetySystem, LZB]
Generated description
LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LZB
Target entity description: LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
  • 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. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • C. 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.
  • D. LZ 1
    LZ 1 was the first experimental rigid airship built by Count Ferdinand von Zeppelin, marking the beginning of the Zeppelin era in aviation.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfeb52081909c38103beb5dbdcd completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e5f07c7081908e1aae715984aac4 completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6531b48819083c0d14c2ca4f7c1 completed March 14, 2026, 4:38 a.m.
Created at: March 8, 2026, 3:35 p.m.