Triple

T6827710
Position Surface form Disambiguated ID Type / Status
Subject Historia universal de la infamia E157057 entity
Predicate publisher P29 FINISHED
Object Editorial Tor
Editorial Tor is an Argentine publishing house known for issuing influential literary works, including early editions of Jorge Luis Borges’s writings.
 E622068 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: Editorial Tor | Statement: [Historia universal de la infamia, publisher, Editorial Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Editorial Tor
Context triple: [Historia universal de la infamia, publisher, Editorial Tor]
  • A. TOJ
    TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
  • B. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • C. TOR
    TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
  • D. Tor Tiv
    Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
  • E. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies 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: Editorial Tor
Triple: [Historia universal de la infamia, publisher, Editorial Tor]
Generated description
Editorial Tor is an Argentine publishing house known for issuing influential literary works, including early editions of Jorge Luis Borges’s writings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Editorial Tor
Target entity description: Editorial Tor is an Argentine publishing house known for issuing influential literary works, including early editions of Jorge Luis Borges’s writings.
  • A. TOJ
    TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
  • B. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • C. TOR
    TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
  • D. Tor Tiv
    Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
  • E. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58583a4819099edbf753c7c7087 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724d7f0308190abb494ea663ceeb9 completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:18 p.m.