Triple

T21108343
Position Surface form Disambiguated ID Type / Status
Subject Heer E520109 entity
Predicate marriedAgainstWillTo P122588 FINISHED
Object Saida Khera NE NERFINISHED

How this triple was built (3 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: Saida Khera | Statement: [Heer, marriedAgainstWillTo, Saida Khera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saida Khera
Context triple: [Heer, marriedAgainstWillTo, Saida Khera]
  • A. Saida Khera chosen
    Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
  • B. Khushkhera
    Khushkhera is an industrial area in the Bhiwadi region of Rajasthan, India, known for its manufacturing units and industrial development.
  • C. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • D. Shahganj
    Shahganj is a town in the Jaunpur district of Uttar Pradesh, India, known as a local commercial and transportation hub for the surrounding rural region.
  • E. Shahganj
    Shahganj is a locality within the Agra metropolitan region in the Indian state of Uttar Pradesh, known primarily as a residential and commercial neighborhood of the historic city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriedAgainstWillTo
Context triple: [Heer, marriedAgainstWillTo, Saida Khera]
  • A. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • B. marriedInto
    Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
  • C. forcedMarriage chosen
    Indicates that one entity compels another into a marital union without their free and informed consent.
  • D. marriedToHeiress
    Indicates that a person is married to someone who is an heiress.
  • E. marriedToUntilDeathOfSpouse
    Indicates a marital relationship that is intended to remain in effect until the death of one of the spouses.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
PD Predicate disambiguation batch_69e5dbff56848190a03b350a9305c612 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:54 p.m.