Triple

T1222782
Position Surface form Disambiguated ID Type / Status
Subject Alagoas E26260 entity
Predicate abbreviation P43 FINISHED
Object AL
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
 E139550 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: AL | Statement: [Alagoas, abbreviation, AL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AL
Context triple: [Alagoas, abbreviation, AL]
  • A. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • B. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • E. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • 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: AL
Triple: [Alagoas, abbreviation, AL]
Generated description
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AL
Target entity description: AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • A. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • B. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • E. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be21a2bc819094b47580d7c5cdf8 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832508c881908ea01e0b7c7e53eb completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83e914b88190b689995a3c38d6cf completed March 7, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ac8461940c819088359a448171455e completed March 7, 2026, 8:02 p.m.
Created at: March 1, 2026, 7:47 p.m.