Triple

T2002328
Position Surface form Disambiguated ID Type / Status
Subject Regional At-Large Organizations E43497 entity
Predicate hasAcronym P43 FINISHED
Object LACRALO
LACRALO is the Latin American and Caribbean Regional At-Large Organization within ICANN that represents and coordinates the interests of Internet users from that region in global Internet governance.
 E224043 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: LACRALO | Statement: [Regional At-Large Organizations, hasAcronym, LACRALO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LACRALO
Context triple: [Regional At-Large Organizations, hasAcronym, LACRALO]
  • A. Lacringi
    The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. Lodac
    Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
  • 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: LACRALO
Triple: [Regional At-Large Organizations, hasAcronym, LACRALO]
Generated description
LACRALO is the Latin American and Caribbean Regional At-Large Organization within ICANN that represents and coordinates the interests of Internet users from that region in global Internet governance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LACRALO
Target entity description: LACRALO is the Latin American and Caribbean Regional At-Large Organization within ICANN that represents and coordinates the interests of Internet users from that region in global Internet governance.
  • A. Lacringi
    The Lacringi were a lesser-known Germanic tribe that participated in the Marcomannic Wars against the Roman Empire in the 2nd century AD.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. Lodac
    Lodac is the powerful evil sorcerer and primary antagonist in the 1962 fantasy film "The Magic Sword."
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8820cec8190a945e5daeb8c9df6 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0342ef8c8190b7771076282981c3 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae057cc1a08190895031fa6c095f49 completed March 8, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69ae0751eff4819086e5469a2c56a24d completed March 8, 2026, 11:33 p.m.
Created at: March 4, 2026, 7:37 p.m.