Triple

T21540133
Position Surface form Disambiguated ID Type / Status
Subject Aníbal Cortés E531460 entity
Predicate codeNameTheme P68530 FINISHED
Object cities 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: cities | Statement: [Aníbal Cortés, codeNameTheme, cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeNameTheme
Context triple: [Aníbal Cortés, codeNameTheme, cities]
  • A. codenameColor
    Indicates that an entity’s codename is associated with or represented by a specific color.
  • B. usesCodenameTheme chosen
    Indicates that an entity adopts a consistent codename pattern or motif (e.g., colors, planets, mythological figures) for naming related items or agents.
  • C. nameTheme
    Indicates that one entity serves as the thematic or subject-related name associated with another entity.
  • D. codenameUser
    Indicates that a user is assigned or associated with a particular codename.
  • E. codenameNumber
    Indicates that an entity is assigned or associated with a specific codename identifier represented as a number.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d119e0c8190a207c0e8ae328a95 completed April 26, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:28 p.m.