Triple

T17778037
Position Surface form Disambiguated ID Type / Status
Subject General Anaya E443823 entity
Predicate stationCode P1289 FINISHED
Object AN
AN is the station code for General Anaya, a Mexico City Metro station named after the Mexican military leader Pedro María Anaya.
 E1286668 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: [General Anaya, stationCode, AN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AN
Context triple: [General Anaya, stationCode, AN]
  • A. AN
    AN is the stock ticker symbol under which Amoco was traded on financial markets.
  • B. AN
    AN is the official vehicle registration code used on license plates for vehicles registered in Anambra State, Nigeria.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • 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: [General Anaya, stationCode, AN]
Generated description
AN is the station code for General Anaya, a Mexico City Metro station named after the Mexican military leader Pedro María Anaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AN
Target entity description: AN is the station code for General Anaya, a Mexico City Metro station named after the Mexican military leader Pedro María Anaya.
  • 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 stock ticker symbol for AutoNation, a major American automotive retailer listed on the New York Stock Exchange.
  • C. AN
    AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
  • D. AN
    AN is the stock ticker symbol under which Amoco was traded on financial markets.
  • E. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc9c0e88190977da0421df6b1a7 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f08892e08190a75c4e523366feda completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18036788190ad1a2893fd104261 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 10:12 a.m.