Triple

T5329101
Position Surface form Disambiguated ID Type / Status
Subject Dargah-e-Ala Hazrat E123258 entity
Predicate attractsPilgrimsFrom P57386 FINISHED
Object various parts of India 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: various parts of India | Statement: [Dargah-e-Ala Hazrat, attractsPilgrimsFrom, various parts of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attractsPilgrimsFrom
Context triple: [Dargah-e-Ala Hazrat, attractsPilgrimsFrom, various parts of India]
  • A. pilgrimsFrom chosen
    Indicates that one or more pilgrims originate from, or are associated with coming from, a particular place.
  • B. pilgrimageAssociatedWith
    Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
  • C. isPlaceOfPilgrimageFor
    Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
  • D. isPilgrimageDestination
    Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
  • E. pilgrimagePractice
    Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69bd84583dbc819088a03e3afb30178c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2 p.m.