Triple

T21652138
Position Surface form Disambiguated ID Type / Status
Subject Correios E534363 entity
Predicate abbreviation P43 FINISHED
Object ECT
ECT is the Brazilian state-owned postal and logistics company officially known as Empresa Brasileira de Correios e Telégrafos.
 E1495426 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: ECT | Statement: [Correios, abbreviation, ECT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECT
Context triple: [Correios, abbreviation, ECT]
  • A. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • B. ECT
    ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
  • C. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • D. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • E. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • 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: ECT
Triple: [Correios, abbreviation, ECT]
Generated description
ECT is the Brazilian state-owned postal and logistics company officially known as Empresa Brasileira de Correios e Telégrafos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECT
Target entity description: ECT is the Brazilian state-owned postal and logistics company officially known as Empresa Brasileira de Correios e Telégrafos.
  • A. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • B. ECT
    ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
  • C. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • D. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • E. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15960e348190b944ee34d80cd8a8 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.