Triple

T4255927
Position Surface form Disambiguated ID Type / Status
Subject San Lorenzo Acopilco E95973 entity
Predicate hasCulturalCharacter P20656 FINISHED
Object traditional 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: traditional | Statement: [San Lorenzo Acopilco, hasCulturalCharacter, traditional]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCulturalCharacter
Context triple: [San Lorenzo Acopilco, hasCulturalCharacter, traditional]
  • A. hasCulturalFeature
    Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
  • B. hasCulturalExpression
    Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
  • C. hasCulturalSignificance
    Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
  • D. hasCulturalIcon
    Indicates that an entity is associated with or possesses a person, symbol, or object widely recognized as a significant representation of a particular culture.
  • E. hasCulturalProperty chosen
    Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69b347f73e008190a908a48ef389945a completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:06 p.m.