Triple

T16386548
Position Surface form Disambiguated ID Type / Status
Subject Agra metropolitan area E397936 entity
Predicate hasPart P35 FINISHED
Object Dayalbagh E379160 NE 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: Dayalbagh | Statement: [Agra metropolitan area, hasPart, Dayalbagh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayalbagh
Context triple: [Agra metropolitan area, hasPart, Dayalbagh]
  • A. Dayal Bagh chosen
    Dayal Bagh is a prominent spiritual and residential colony in Agra, India, known as the headquarters of the Radha Soami Satsang and for its ornate marble memorial temple.
  • B. Shahdara Bagh
    Shahdara Bagh is a historic suburb of Lahore, Pakistan, renowned for its Mughal-era gardens and monumental tombs, including several imperial mausoleums.
  • C. Punjabi Bagh
    Punjabi Bagh is a prominent residential and commercial neighborhood in West Delhi known for its upscale housing, markets, and eateries.
  • D. Hazuri Bagh
    Hazuri Bagh is a historic garden and courtyard in the Walled City of Lahore, Pakistan, situated between major Mughal-era monuments such as the Badshahi Mosque and Lahore Fort.
  • E. Nampally Sarai
    Nampally Sarai is a historic travelers’ inn in Hyderabad, India, known for its early 20th-century architecture and proximity to the Nampally railway station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.