Triple

T9783024
Position Surface form Disambiguated ID Type / Status
Subject Xilinx E237421 entity
Predicate tickerSymbol P1447 FINISHED
Object XLNX
XLNX is the stock ticker symbol for Xilinx, a leading semiconductor company known for its programmable logic devices and FPGAs.
 E822034 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: XLNX | Statement: [Xilinx, tickerSymbol, XLNX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XLNX
Context triple: [Xilinx, tickerSymbol, XLNX]
  • A. XLON
    XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
  • B. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • C. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • D. LXS
    LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
  • E. Z line
    The Z line is a rush-hour skip-stop service on the New York City Subway’s J/Z route, running along the BMT Jamaica Line between Queens and Manhattan.
  • 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: XLNX
Triple: [Xilinx, tickerSymbol, XLNX]
Generated description
XLNX is the stock ticker symbol for Xilinx, a leading semiconductor company known for its programmable logic devices and FPGAs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XLNX
Target entity description: XLNX is the stock ticker symbol for Xilinx, a leading semiconductor company known for its programmable logic devices and FPGAs.
  • A. XLON
    XLON is the Market Identifier Code for the London Stock Exchange, one of the world’s largest and most prominent stock markets.
  • B. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • C. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • D. LXS
    LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
  • E. Z line
    The Z line is a rush-hour skip-stop service on the New York City Subway’s J/Z route, running along the BMT Jamaica Line between Queens and Manhattan.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b5714481908bf74b8bf3e4e6e8 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41fc5508190a759cdda8416673a completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c53b888081908ecb01884f064b80 completed April 5, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:27 p.m.