Triple

T18651577
Position Surface form Disambiguated ID Type / Status
Subject Zebra Technologies E455951 entity
Predicate tickerSymbol P1447 FINISHED
Object ZBRA
ZBRA is the stock ticker symbol for Zebra Technologies Corporation, a company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
 E1335996 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: ZBRA | Statement: [Zebra Technologies, tickerSymbol, ZBRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZBRA
Context triple: [Zebra Technologies, tickerSymbol, ZBRA]
  • A. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • B. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
  • C. ZBYN
    ZBYN is the ICAO airport code for Taiyuan Wusu International Airport in Taiyuan, Shanxi Province, China.
  • D. BZA
    BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
  • E. BZA
    BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
  • 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: ZBRA
Triple: [Zebra Technologies, tickerSymbol, ZBRA]
Generated description
ZBRA is the stock ticker symbol for Zebra Technologies Corporation, a company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZBRA
Target entity description: ZBRA is the stock ticker symbol for Zebra Technologies Corporation, a company specializing in barcode printing, data capture, and enterprise asset intelligence solutions.
  • A. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • B. ZUB
    ZUB is a Swiss train protection and automatic train control system used to enhance operational safety on the Swiss Federal Railways network.
  • C. ZBYN
    ZBYN is the ICAO airport code for Taiyuan Wusu International Airport in Taiyuan, Shanxi Province, China.
  • D. BZA
    BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
  • E. BZA
    BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55011a8208190acf5e6f69a441043 completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05171ec7708190be7531acb3a265cc completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a05182b38848190ad50785ba1a884ea completed May 14, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0518e6358c8190ac5f67300d63f852 completed May 14, 2026, 12:35 a.m.
Created at: April 10, 2026, 11:47 a.m.