Triple

T1381200
Position Surface form Disambiguated ID Type / Status
Subject S&P Composite 1500 E29340 entity
Predicate tickerSymbol P1447 FINISHED
Object SP1500
SP1500 is the stock market ticker symbol for the S&P Composite 1500 Index, a broad U.S. equity benchmark that combines large-, mid-, and small-cap stocks.
 E157310 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: SP1500 | Statement: [S&P Composite 1500, tickerSymbol, SP1500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SP1500
Context triple: [S&P Composite 1500, tickerSymbol, SP1500]
  • A. SP100
    SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
  • B. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • C. SR 400
    SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
  • D. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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: SP1500
Triple: [S&P Composite 1500, tickerSymbol, SP1500]
Generated description
SP1500 is the stock market ticker symbol for the S&P Composite 1500 Index, a broad U.S. equity benchmark that combines large-, mid-, and small-cap stocks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SP1500
Target entity description: SP1500 is the stock market ticker symbol for the S&P Composite 1500 Index, a broad U.S. equity benchmark that combines large-, mid-, and small-cap stocks.
  • A. SP100
    SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
  • B. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • C. SR 400
    SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
  • D. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31b176c8190a896183140c5c8be completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48c41f4819092f7e1302d803662 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd543a0ac8190b9fd5e921b5ad9ea completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd5b8fa2481908fd52d94e55b6377 completed March 8, 2026, 1:49 a.m.
Created at: March 1, 2026, 7:59 p.m.