Triple

T3825929
Position Surface form Disambiguated ID Type / Status
Subject Tram line 7 (VBZ) E88689 entity
Predicate operator P179 FINISHED
Object VBZ
VBZ is the municipal public transport operator in Zurich, Switzerland, running the city’s trams, buses, and other local transit services.
 E390722 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: VBZ | Statement: [Tram line 7 (VBZ), operator, VBZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VBZ
Context triple: [Tram line 7 (VBZ), operator, VBZ]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • C. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • D. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • E. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • 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: VBZ
Triple: [Tram line 7 (VBZ), operator, VBZ]
Generated description
VBZ is the municipal public transport operator in Zurich, Switzerland, running the city’s trams, buses, and other local transit services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VBZ
Target entity description: VBZ is the municipal public transport operator in Zurich, Switzerland, running the city’s trams, buses, and other local transit services.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • E. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb6364fc8190bf8401743f1695d5 completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4f41c88190b3040236462c37cc completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fc9fc5dc81908772fc642285abf6 completed March 14, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4fd0dc3d48190b907d7a1c1e44066 completed March 14, 2026, 6:15 a.m.
Created at: March 9, 2026, 3:17 p.m.