Triple

T1251843
Position Surface form Disambiguated ID Type / Status
Subject Arab Labor Organization E26892 entity
Predicate abbreviation P43 FINISHED
Object ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
 E144036 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: ALO | Statement: [Arab Labor Organization, abbreviation, ALO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALO
Context triple: [Arab Labor Organization, abbreviation, ALO]
  • A. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • B. 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.
  • C. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • 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: ALO
Triple: [Arab Labor Organization, abbreviation, ALO]
Generated description
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALO
Target entity description: ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • A. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • B. 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.
  • C. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:47 p.m.