Triple

T14299513
Position Surface form Disambiguated ID Type / Status
Subject Patna district E354524 entity
Predicate hasCity P316 FINISHED
Object Khagaul E1091993 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: Khagaul | Statement: [Patna district, hasCity, Khagaul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khagaul
Context triple: [Patna district, hasCity, Khagaul]
  • A. Khagaul chosen
    Khagaul is a town in the Patna district of Bihar, India, historically known as an ancient center of astronomy and learning.
  • B. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
  • C. Kulpahar
    Kulpahar is a town in the Mahoba district of Uttar Pradesh, India, known for its historical significance and proximity to Bundelkhand’s cultural and archaeological sites.
  • D. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • E. Bhatarka
    Bhatarka was an early Indian ruler who founded the Maitraka dynasty, establishing its power base in the region of present-day Gujarat.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c34d038819097b441c943ea5063 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:11 a.m.