Triple

T3903136
Position Surface form Disambiguated ID Type / Status
Subject Gulab Devi Chest Hospital, Lahore E90542 entity
Predicate namedAfter P63 FINISHED
Object Gulab Devi E93925 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: Gulab Devi | Statement: [Gulab Devi Chest Hospital, Lahore, namedAfter, Gulab Devi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulab Devi
Context triple: [Gulab Devi Chest Hospital, Lahore, namedAfter, Gulab Devi]
  • A. Gulab Devi chosen
    Gulab Devi was the mother of Indian freedom fighter Lala Lajpat Rai and is remembered primarily for her influence on his early life and values.
  • B. Kamleshwari Devi
    Kamleshwari Devi was the mother of Dr. Rajendra Prasad, the first President of independent India.
  • C. Rajlakshmi Devi
    Rajlakshmi Devi was the wife of renowned Bengali novelist and poet Bankim Chandra Chattopadhyay, a key figure of the Bengali Renaissance.
  • D. Laxmibai
    Laxmibai was the wife of the renowned Kannada poet and Jnanpith awardee D. R. Bendre.
  • E. Sharada Devi
    Sharada Devi is a Hindu goddess of learning and wisdom, venerated particularly in Kashmir as a local form of Saraswati.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf5a7188190a1c722ec83e3c6cd completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528540ad48190ac86774c76a2ffd4 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:21 p.m.