Triple

T28062960
Position Surface form Disambiguated ID Type / Status
Subject Ciskei E709163 entity
Predicate typeOfSegregationProject P15323 FINISHED
Object ethno-territorial segregation 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: ethno-territorial segregation | Statement: [Ciskei, typeOfSegregationProject, ethno-territorial segregation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSegregationProject
Context triple: [Ciskei, typeOfSegregationProject, ethno-territorial segregation]
  • A. typeOfSegregationAddressed
    Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
  • B. raceSegregationStatus
    Indicates whether entities are separated, treated differently, or organized based on racial categories or distinctions.
  • C. massSegregation
    Indicates that entities within a system are spatially distributed according to their mass, with more massive members preferentially concentrated toward the center.
  • D. segregationBasis chosen
    Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
  • E. segregatedIn
    Indicates that one entity is separated or isolated within a specific space, group, or context defined by another entity.
  • 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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69fe5d58c3e48190910aa3c23485e2c4 completed May 8, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69fe5c92090c8190bcfa412c0a3619df completed May 8, 2026, 9:58 p.m.
Created at: April 27, 2026, 8:41 p.m.