Triple

T10945839
Position Surface form Disambiguated ID Type / Status
Subject Delhi region E258594 entity
Predicate historicalEvents P2107 FINISHED
Object establishment of multiple cities named Delhi over centuries 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: establishment of multiple cities named Delhi over centuries | Statement: [Delhi region, historicalEvents, establishment of multiple cities named Delhi over centuries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalEvents
Context triple: [Delhi region, historicalEvents, establishment of multiple cities named Delhi over centuries]
  • A. hasHistoricalEvent chosen
    Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
  • B. historicalFocus
    Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
  • C. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • D. historicalInterest
    Indicates that one entity has a notable relevance, appeal, or significance to the study or understanding of the past.
  • E. historicalReference
    Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69d72e816a98819096d6c10dfb88a66a completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.