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.