Triple

T13885662
Position Surface form Disambiguated ID Type / Status
Subject Sikh Gurus E333836 entity
Predicate institution P6113 FINISHED
Object Langar
Langar is the Sikh community kitchen tradition that serves free meals to all people regardless of religion, caste, gender, or social status as an expression of equality and service.
E1068663 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: Langar | Statement: [Sikh Gurus, institution, Langar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langar
Context triple: [Sikh Gurus, institution, Langar]
  • A. Lalsot
    Lalsot is a town in the Dausa district of Rajasthan, India, known for its agricultural markets and regional trade activities.
  • B. Dak Khana
    Dak Khana is a residential and commercial neighborhood located within Liaquatabad Town in Karachi, Pakistan.
  • C. Kotli Sattian
    Kotli Sattian is a hilly tehsil and town in Pakistan’s Punjab province, known for its scenic landscapes, forests, and cool climate.
  • D. Sambhal
    Sambhal is a town in the Indian state of Uttar Pradesh known for its historical significance and role as an administrative and commercial center in the region.
  • E. Namkhana
    Namkhana is a coastal town and community development block in West Bengal, India, known as a gateway to the Sunderbans region and for its fishing and tourism-based economy.
  • 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: Langar
Triple: [Sikh Gurus, institution, Langar]
Generated description
Langar is the Sikh community kitchen tradition that serves free meals to all people regardless of religion, caste, gender, or social status as an expression of equality and service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langar
Target entity description: Langar is the Sikh community kitchen tradition that serves free meals to all people regardless of religion, caste, gender, or social status as an expression of equality and service.
  • A. Lalsot
    Lalsot is a town in the Dausa district of Rajasthan, India, known for its agricultural markets and regional trade activities.
  • B. Dak Khana
    Dak Khana is a residential and commercial neighborhood located within Liaquatabad Town in Karachi, Pakistan.
  • C. Kotli Sattian
    Kotli Sattian is a hilly tehsil and town in Pakistan’s Punjab province, known for its scenic landscapes, forests, and cool climate.
  • D. Sambhal
    Sambhal is a town in the Indian state of Uttar Pradesh known for its historical significance and role as an administrative and commercial center in the region.
  • E. Namkhana
    Namkhana is a coastal town and community development block in West Bengal, India, known as a gateway to the Sunderbans region and for its fishing and tourism-based economy.
  • F. None of above. chosen

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_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.