Triple

T6111536
Position Surface form Disambiguated ID Type / Status
Subject Operation AL E136252 entity
Predicate codename P2980 FINISHED
Object AL
AL is the codename for a specific military operation referred to as Operation AL.
 E569221 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: [Operation AL, codename, AL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AL
Context triple: [Operation AL, codename, 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 the two-letter ISO 3166 country code representing the Republic of Albania.
  • C. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • D. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • E. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • 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: [Operation AL, codename, AL]
Generated description
AL is the codename for a specific military operation referred to as Operation AL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AL
Target entity description: AL is the codename for a specific military operation referred to as Operation 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 the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • C. AL
    AL is the two-letter ISO 3166 country code representing the Republic of Albania.
  • D. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • E. ALE
    ALE is a widely used research platform that provides a common interface to hundreds of Atari 2600 games for developing and evaluating artificial intelligence and reinforcement learning algorithms.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbbbea88190b889a7c30af1d71a completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125631e008190921206b9e355202b completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1281a40a0819083e1ed6fe5433016 completed March 23, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69c12891264c81908eec332350863b4a completed March 23, 2026, 11:48 a.m.
Created at: March 22, 2026, 4:13 p.m.