Triple

T3611697
Position Surface form Disambiguated ID Type / Status
Subject Tughlaq dynasty E76502 entity
Predicate capitalMovedTo P1660 FINISHED
Object Daulatabad E177437 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: Daulatabad | Statement: [Tughlaq dynasty, capitalMovedTo, Daulatabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daulatabad
Context triple: [Tughlaq dynasty, capitalMovedTo, Daulatabad]
  • A. Daulatabad Fort chosen
    Daulatabad Fort is a massive medieval hilltop fortress in Maharashtra, India, renowned for its formidable defenses, strategic location, and well-preserved architecture.
  • B. Aurangabad
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • C. Khuldabad
    Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
  • D. Shajapur
    Shajapur is a town and administrative center in central India known for being the headquarters of Shajapur district in the state of Madhya Pradesh.
  • E. Badami
    Badami is a historic town in Karnataka, India, renowned for its rock-cut cave temples and ancient Chalukyan architecture.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22e5b30819084184b730732c727 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433136c94819099bc1d3846e54b07 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.