Triple

T5607214
Position Surface form Disambiguated ID Type / Status
Subject SIX:NESN E147262 entity
Predicate componentOfIndex P5722 FINISHED
Object SPI
SPI is a stock market index that includes companies such as SIX:NESN and tracks the performance of the broader Swiss equity market.
 E536943 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: SPI | Statement: [SIX:NESN, componentOfIndex, SPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPI
Context triple: [SIX:NESN, componentOfIndex, SPI]
  • A. SPI
    SPI is the IATA airport code for Abraham Lincoln Capital Airport serving Springfield, Illinois, in the United States.
  • B. I2C
    I2C is a widely used two-wire serial communication bus that enables simple, low-speed data exchange between microcontrollers and peripheral devices on the same circuit board.
  • C. MOSI
    MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • D. SPICE
    SPICE is Amazon QuickSight’s in-memory calculation and storage engine designed to enable fast, scalable, and interactive data analysis.
  • E. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • 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: SPI
Triple: [SIX:NESN, componentOfIndex, SPI]
Generated description
SPI is a stock market index that includes companies such as SIX:NESN and tracks the performance of the broader Swiss equity market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPI
Target entity description: SPI is a stock market index that includes companies such as SIX:NESN and tracks the performance of the broader Swiss equity market.
  • A. SPI
    SPI is the IATA airport code for Abraham Lincoln Capital Airport serving Springfield, Illinois, in the United States.
  • B. I2C
    I2C is a widely used two-wire serial communication bus that enables simple, low-speed data exchange between microcontrollers and peripheral devices on the same circuit board.
  • C. MOSI
    MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • D. SPICE
    SPICE is Amazon QuickSight’s in-memory calculation and storage engine designed to enable fast, scalable, and interactive data analysis.
  • E. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fbb8748190841e5e09db3feef1 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4465388190b28f47f11e133b6a completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e88680c8190845723f52c060fb7 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7b889c81909db7cb4baf40ed80 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:39 p.m.