Triple

T952806
Position Surface form Disambiguated ID Type / Status
Subject Tallinn E20558 entity
Predicate hasCityRightsFrom P3431 FINISHED
Object 13th century 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: 13th century | Statement: [Tallinn, hasCityRightsFrom, 13th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityRightsFrom
Context triple: [Tallinn, hasCityRightsFrom, 13th century]
  • A. hasMetropolitanAuthorityOver
    Indicates that one entity holds official governing or administrative authority over a metropolitan area or region associated with another entity.
  • B. grantedTownRights chosen
    Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
  • C. hasCityRole
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • D. hasVoivodeshipRights
    Indicates that an entity possesses the legal status, privileges, or jurisdictional authority associated with a voivodeship (a regional administrative unit).
  • E. hasTargetCity
    Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d8f2e0819097554a301f8aa70f completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a045308190ab94f3adab40db8d completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.