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.