Triple

T31675783
Position Surface form Disambiguated ID Type / Status
Subject Eastern Army Engineer Group E808393 entity
Predicate isSpecialized P89239 FINISHED
Object true 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: true | Statement: [Eastern Army Engineer Group, isSpecialized, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSpecialized
Context triple: [Eastern Army Engineer Group, isSpecialized, true]
  • A. isSpecializedFor chosen
    Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
  • B. specializesTo
    Indicates that one entity is a more specific or specialized version of another, inheriting its characteristics while adding further constraints or detail.
  • C. exportSpecialization
    Indicates a relationship where one entity specializes in exporting particular goods, services, or resources to another entity or market.
  • D. allowsSpecializationIn
    Indicates that one entity grants permission or provides the option for another entity to pursue a specific specialization within it.
  • E. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • 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_69f348dcf5d48190ac25b1365ae717a8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:02 p.m.