Triple

T2873344
Position Surface form Disambiguated ID Type / Status
Subject Harmandir Sahib E56816 entity
Predicate hasPart P35 FINISHED
Object Langar Hall E276050 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: Langar Hall | Statement: [Harmandir Sahib, hasPart, Langar Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langar Hall
Context triple: [Harmandir Sahib, hasPart, Langar Hall]
  • A. Langar Hall chosen
    Langar Hall is the communal dining area in a Sikh gurdwara where free vegetarian meals are served to all visitors as an expression of equality and service.
  • B. Arhat Hall
    Arhat Hall is a renowned Buddhist hall within Guiyuan Temple, famous for its numerous life-sized statues of arhats (enlightened disciples) arranged for worship and contemplation.
  • C. Palatu Dheri
    Palatu Dheri is an archaeological mound near Charsadda in Pakistan, known for remains linked to the ancient Gandhara civilization.
  • D. Pantas Hall
    Pantas Hall is a notable building and campus landmark located at Pratt Institute’s Brooklyn campus.
  • E. Gund Hall
    Gund Hall is the iconic main building of the Harvard Graduate School of Design, known for its distinctive modernist architecture and large open studio spaces.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abdfe59ef88190b8bdfdd03e8965f3 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db40e388190a208fe58e2ed6029 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.