Triple

T5829587
Position Surface form Disambiguated ID Type / Status
Subject Bzyb dialect E129310 entity
Predicate hasAgreementSystem P67423 FINISHED
Object extensive person and number agreement on the verb 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: extensive person and number agreement on the verb | Statement: [Bzyb dialect, hasAgreementSystem, extensive person and number agreement on the verb]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgreementSystem
Context triple: [Bzyb dialect, hasAgreementSystem, extensive person and number agreement on the verb]
  • A. hasTypeOfAgreement
    Indicates that one entity is associated with, or governed by, a specific category or type of agreement.
  • B. canEnterIntoAgreementsWith
    Indicates that one entity has the legal or formal capacity to make binding agreements or contracts with another entity.
  • C. hasAccord
    Indicates that there is a formal agreement, harmony, or concord between the related entities.
  • D. establishedByAgreementSignedIn
    Indicates that something was formally created or instituted as a result of an agreement that was signed at a specific time or place.
  • E. basedOnAgreementWith
    Indicates that something exists, is done, or is determined on the basis of a prior agreement or accord between the involved parties.
  • F. None of above. chosen

Provenance (4 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69c03341e5888190a5f219b6f92cb161 completed March 22, 2026, 6:21 p.m.
PDg Predicate description generation batch_69c044a9c4f0819081b8c196932883f6 completed March 22, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:54 p.m.