Triple

T28828686
Position Surface form Disambiguated ID Type / Status
Subject Colombian postal code system E727982 entity
Predicate firstDigitsRepresent P45286 FINISHED
Object department LITERAL FINISHED

How this triple was built (2 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: department | Statement: [Colombian postal code system, firstDigitsRepresent, department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstDigitsRepresent
Context triple: [Colombian postal code system, firstDigitsRepresent, department]
  • A. firstDigitEncoding
    Indicates that one entity encodes or represents the first digit of another entity (such as a number, code, or identifier).
  • B. representsDigitsOf
    Indicates that one entity encodes or corresponds to the individual digits that make up the numeric value of another entity.
  • C. firstPartRepresents chosen
    Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
  • D. secondDigitRepresents
    Indicates that the second digit in a numeric or coded value encodes or signifies a specific attribute, category, or meaning within that value.
  • E. numericPartRepresents
    Indicates that a numeric component of something stands for or encodes a specific value, property, or aspect of that thing.
  • F. None of above.

Provenance (3 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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_6a005e8a2f7c819085bfc6f04b866d87 completed May 10, 2026, 10:31 a.m.
PD Predicate disambiguation batch_6a005de82ef08190a015b385d1d3443c completed May 10, 2026, 10:28 a.m.
Created at: April 28, 2026, 6:37 a.m.