Triple

T13885663
Position Surface form Disambiguated ID Type / Status
Subject Sikh Gurus E333836 entity
Predicate institution P6113 FINISHED
Object Sangat
Sangat is the Sikh religious congregation or community of devotees who gather for collective worship, learning, and spiritual support.
E873913 NE FINISHED

How this triple was built (4 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: Sangat | Statement: [Sikh Gurus, institution, Sangat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangat
Context triple: [Sikh Gurus, institution, Sangat]
  • A. Alangalang
    Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
  • B. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • C. Ngalop
    Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
  • D. Ngantang
    Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
  • E. Bhinneka
    Bhinneka is an Indonesian e-commerce company best known as one of the country’s earliest and largest online retailers for electronics and IT products.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sangat
Triple: [Sikh Gurus, institution, Sangat]
Generated description
Sangat is the Sikh religious congregation or community of devotees who gather for collective worship, learning, and spiritual support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sangat
Target entity description: Sangat is the Sikh religious congregation or community of devotees who gather for collective worship, learning, and spiritual support.
  • A. Sangat chosen
    Sangat refers to the Sikh congregation or community of devotees who collectively participate in spiritual practices such as listening to and performing Gurbani Kirtan.
  • B. Alangalang
    Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
  • C. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • D. Ngalop
    Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
  • E. Ngantang
    Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
  • F. None of above.

Provenance (5 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c716166c8190a6323f8c01de06a5 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c976e96c8190b59f46d9b758e8e2 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.