Triple

T16178616
Position Surface form Disambiguated ID Type / Status
Subject Esperanto-USA E392629 entity
Predicate hasAbbreviation P43 FINISHED
Object E-USA
E-USA is the primary organization for Esperanto speakers and enthusiasts in the United States, promoting the use and study of the international language Esperanto.
E1199879 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: E-USA | Statement: [Esperanto-USA, hasAbbreviation, E-USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-USA
Context triple: [Esperanto-USA, hasAbbreviation, E-USA]
  • A. ECUSA
    ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
  • B. CS U.S.
    CS U.S. is the standard FAA publication providing detailed aeronautical information for pilots and aviation professionals across the United States.
  • C. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • D. EEU
    EEU is the commonly used abbreviation for the Eurasian Economic Union, a regional economic bloc of several post-Soviet states focused on economic integration and a single market.
  • E. 5USA
    5USA is a British free-to-air television channel that primarily broadcasts imported U.S. dramas, comedies, and movies.
  • 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: E-USA
Triple: [Esperanto-USA, hasAbbreviation, E-USA]
Generated description
E-USA is the primary organization for Esperanto speakers and enthusiasts in the United States, promoting the use and study of the international language Esperanto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: E-USA
Target entity description: E-USA is the primary organization for Esperanto speakers and enthusiasts in the United States, promoting the use and study of the international language Esperanto.
  • A. ECUSA
    ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
  • B. CS U.S.
    CS U.S. is the standard FAA publication providing detailed aeronautical information for pilots and aviation professionals across the United States.
  • C. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • D. EEU
    EEU is the commonly used abbreviation for the Eurasian Economic Union, a regional economic bloc of several post-Soviet states focused on economic integration and a single market.
  • E. 5USA
    5USA is a British free-to-air television channel that primarily broadcasts imported U.S. dramas, comedies, and movies.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ab3108190a84fc2dfe61d5044 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a0000a8a74c8190925c4140cf4a8520 completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0004ceda8c8190a358f58f76116a7f completed May 10, 2026, 4:08 a.m.
Created at: April 10, 2026, 5:02 a.m.