Triple

T531580
Position Surface form Disambiguated ID Type / Status
Subject mansabdari system E12233 entity
Predicate rankRange P16498 FINISHED
Object 10 to 5000 in Akbar’s time 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: 10 to 5000 in Akbar’s time | Statement: [mansabdari system, rankRange, 10 to 5000 in Akbar’s time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankRange
Context triple: [mansabdari system, rankRange, 10 to 5000 in Akbar’s time]
  • A. rankFlagFor
    Indicates that something is assigned or associated with a specific ranking flag used to mark its status or priority.
  • B. depthRank
    Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
  • C. rankingMember
    Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
  • D. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • E. typicallyHoldsRank
    Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b257108190a537dffbb9d621b5 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49857e1148190aa782b82675cf0b5 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.