Triple

T15575491
Position Surface form Disambiguated ID Type / Status
Subject AutoNation E374358 entity
Predicate tickerSymbol P1447 FINISHED
Object AN
AN is the stock ticker symbol for AutoNation, a major American automotive retailer listed on the New York Stock Exchange.
 E1164593 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: AN | Statement: [AutoNation, tickerSymbol, AN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AN
Context triple: [AutoNation, tickerSymbol, AN]
  • A. AN
    AN is the official vehicle registration code used on license plates for vehicles registered in Anambra State, Nigeria.
  • B. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • C. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • D. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • E. AN
    AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
  • 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: AN
Triple: [AutoNation, tickerSymbol, AN]
Generated description
AN is the stock ticker symbol for AutoNation, a major American automotive retailer listed on the New York Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AN
Target entity description: AN is the stock ticker symbol for AutoNation, a major American automotive retailer listed on the New York Stock Exchange.
  • A. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • B. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • C. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • D. AN
    AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
  • E. AN
    AN is the official vehicle registration code used on license plates for vehicles registered in Anambra 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4978ec8190a57de5d9a2ec6653 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d0678648190b61fbe79a60da8ec completed May 9, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff4d9258148190b21201bb09e16999 completed May 9, 2026, 3:06 p.m.
Created at: April 10, 2026, 4:10 a.m.