Triple

T3500880
Position Surface form Disambiguated ID Type / Status
Subject American Library Association E73963 entity
Predicate hasAbbreviation P43 FINISHED
Object ALA
ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
 E364120 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: ALA | Statement: [American Library Association, hasAbbreviation, ALA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALA
Context triple: [American Library Association, hasAbbreviation, ALA]
  • A. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • B. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • C. Alabama
    Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
  • D. ALA (historical)
    ALA (historical) was the former stock ticker symbol used to represent the French telecommunications company Alcatel on securities exchanges.
  • E. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • 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: ALA
Triple: [American Library Association, hasAbbreviation, ALA]
Generated description
ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALA
Target entity description: ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
  • A. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • B. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • C. Alabama
    Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
  • D. ALA (historical)
    ALA (historical) was the former stock ticker symbol used to represent the French telecommunications company Alcatel on securities exchanges.
  • E. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd5fbe8819091b61fa8df355f0c completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d88dc08190a8508f990b01cf03 completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b3779133788190a17b2d8a51587682 completed March 13, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b377facc048190849ccd4ddcd9b442 completed March 13, 2026, 2:35 a.m.
Created at: March 8, 2026, 3:18 p.m.