Triple

T1021642
Position Surface form Disambiguated ID Type / Status
Subject Latin American and Caribbean ccTLD community E22051 entity
Predicate relatedTo P37 FINISHED
Object LACTLD
LACTLD is the regional association that brings together and represents the country-code top-level domain (ccTLD) operators of Latin America and the Caribbean.
 E121738 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: LACTLD | Statement: [Latin American and Caribbean ccTLD community, relatedTo, LACTLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LACTLD
Context triple: [Latin American and Caribbean ccTLD community, relatedTo, LACTLD]
  • A. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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: LACTLD
Triple: [Latin American and Caribbean ccTLD community, relatedTo, LACTLD]
Generated description
LACTLD is the regional association that brings together and represents the country-code top-level domain (ccTLD) operators of Latin America and the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LACTLD
Target entity description: LACTLD is the regional association that brings together and represents the country-code top-level domain (ccTLD) operators of Latin America and the Caribbean.
  • A. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dead9c8190a0f8d4ef48e6c809 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb63f14819098f5e32af3b98508 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3de4fbb88190855cf92af51fe70b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.