Triple

T13104339
Position Surface form Disambiguated ID Type / Status
Subject Jehanabad E310804 entity
Predicate nearbyCity P350 FINISHED
Object Nalanda E167991 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: Nalanda | Statement: [Jehanabad, nearbyCity, Nalanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalanda
Context triple: [Jehanabad, nearbyCity, Nalanda]
  • A. Nalanda chosen
    Nalanda is an ancient Buddhist monastic university and renowned archaeological site in present-day Bihar, India, celebrated as one of the world’s earliest centers of higher learning.
  • B. Vikramashila
    Vikramashila was a major medieval Buddhist monastic university in eastern India, renowned as a center of advanced Vajrayana and scholastic studies.
  • C. Odantapuri
    Odantapuri was an important early Buddhist monastic university in eastern India, renowned as a major center of learning and scholarship in the Pala period.
  • D. Nalanda Campus
    Nalanda Campus is one of Naropa University’s main academic sites, known for integrating contemplative education with liberal arts and professional studies.
  • E. Takshashila university
    Takshashila University was one of the earliest and most renowned centers of higher learning in ancient India, attracting students from across Asia to study subjects ranging from philosophy and medicine to politics and astronomy.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e277b89c8190a0d895eb46836525 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.