Triple

T1106403
Position Surface form Disambiguated ID Type / Status
Subject Kumbh Mela E25496 entity
Predicate peakDayAttendance P23195 FINISHED
Object over 30 million people on a single day in some years 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: over 30 million people on a single day in some years | Statement: [Kumbh Mela, peakDayAttendance, over 30 million people on a single day in some years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peakDayAttendance
Context triple: [Kumbh Mela, peakDayAttendance, over 30 million people on a single day in some years]
  • A. dailyRidershipPeak
    Indicates that the relationship specifies the highest number of riders or users recorded for a service or system within a single day.
  • B. daytimePopulation
    Indicates the number of people present in a given area during daytime hours, typically reflecting where people work or visit rather than where they reside.
  • C. peakActivity
    Indicates that an entity is at its highest or most intense level of activity within a given period or context.
  • D. peakDailyTrains
    Indicates the maximum number of trains operating per day on a given route, line, or segment during its busiest period.
  • E. circulationPeak
    Indicates the highest level or maximum point reached in the circulation of something (such as money, media, or resources) within a given period or system.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e339f88190afc027216e95d2f7 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b74877748190b78cd8847ee4fa7a completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:43 p.m.