Triple

T23170809
Position Surface form Disambiguated ID Type / Status
Subject Harshacharita E578853 entity
Predicate settingLocation P40 FINISHED
Object Thanesar NE NERFINISHED

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: Thanesar | Statement: [Harshacharita, settingLocation, Thanesar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanesar
Context triple: [Harshacharita, settingLocation, Thanesar]
  • A. Thanesar chosen
    Thanesar is a historic town in the Indian state of Haryana, renowned as an ancient center of learning and a significant site in Hindu mythology and the Mahabharata.
  • B. Kharsawan
    Kharsawan is a town in the Kolhan region of Jharkhand, India, known historically as a former princely state and a local administrative and commercial center.
  • C. Mahasthangarh
    Mahasthangarh is one of the earliest and most important archaeological sites in Bangladesh, featuring the ruins of an ancient fortified city dating back to at least the 3rd century BCE.
  • D. Hindupur
    Hindupur is a town in the Anantapur district of Andhra Pradesh, India, known as a regional commercial and transportation hub near the Karnataka border.
  • E. Badnagar
    Badnagar is a town in the Ujjain district of the central Indian state of Madhya Pradesh, known primarily as a local commercial and agricultural center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f3007108190bc3c831f81ae1dce completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.