Triple

T5129628
Position Surface form Disambiguated ID Type / Status
Subject Indraprastha E115663 entity
Predicate predecessorTerritory P62783 FINISHED
Object Khandavaprastha forest 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: Khandavaprastha forest | Statement: [Indraprastha, predecessorTerritory, Khandavaprastha forest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorTerritory
Context triple: [Indraprastha, predecessorTerritory, Khandavaprastha forest]
  • A. successorTerritorialEntity
    Indicates that one territorial entity directly follows and replaces another in governing authority or jurisdiction over a given area.
  • B. countryPredecessor
    Indicates that one country existed before and was succeeded or replaced by another country in a historical or political sense.
  • C. successorTerritorialStatus
    Indicates the territorial status or jurisdiction that directly follows and replaces a previous territorial status in a succession or transition.
  • D. predecessorCulture
    Indicates that one culture historically preceded and contributed to the development of another culture.
  • E. formerGoverningCountry
    Indicates that one country previously held governing or colonial authority over another country or territory.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7fef2e8c8190982dd67f50295ada completed March 20, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69bd77ac2fc48190abeebb003a82384c completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd7fee42748190967013828973cce0 completed March 20, 2026, 5:12 p.m.
Created at: March 20, 2026, 1:42 p.m.