Triple

T7931396
Position Surface form Disambiguated ID Type / Status
Subject Zscaler E184196 entity
Predicate tickerSymbol P1447 FINISHED
Object ZS
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
 E697125 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: ZS | Statement: [Zscaler, tickerSymbol, ZS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZS
Context triple: [Zscaler, tickerSymbol, ZS]
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • C. ZLS
    ZLS is the IATA airport code assigned to a specific airfield or airport associated with the location abbreviated as LST.
  • D. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • E. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • 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: ZS
Triple: [Zscaler, tickerSymbol, ZS]
Generated description
ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZS
Target entity description: ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • C. ZLS
    ZLS is the IATA airport code assigned to a specific airfield or airport associated with the location abbreviated as LST.
  • D. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • E. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3accc388819087065ebe7d5d9591 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f22f89c8190a98208bf096a2427 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d2dff8819085ad9e10baad1537 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:07 p.m.