Triple
T1802672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil people |
E39754
|
entity |
| Predicate | traditionalFood |
P1016
|
FINISHED |
| Object |
Dosa
Dosa is a popular South Indian fermented crepe made from rice and lentil batter, commonly eaten as a savory breakfast or snack.
|
E202774
|
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: Dosa | Statement: [Tamil people, traditionalFood, Dosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dosa Context triple: [Tamil people, traditionalFood, Dosa]
-
A.
Idli
Idli is a soft, steamed South Indian rice-and-lentil cake commonly eaten for breakfast and often served with sambar and chutneys.
-
B.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
-
C.
Pithla Bhakri
Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
-
D.
Sandesh
Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
-
E.
aloo paratha
Aloo paratha is a popular North Indian flatbread stuffed with spiced mashed potatoes, commonly eaten with butter, yogurt, or pickles.
- 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: Dosa Triple: [Tamil people, traditionalFood, Dosa]
Generated description
Dosa is a popular South Indian fermented crepe made from rice and lentil batter, commonly eaten as a savory breakfast or snack.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dosa Target entity description: Dosa is a popular South Indian fermented crepe made from rice and lentil batter, commonly eaten as a savory breakfast or snack.
-
A.
Idli
Idli is a soft, steamed South Indian rice-and-lentil cake commonly eaten for breakfast and often served with sambar and chutneys.
-
B.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
-
C.
Pithla Bhakri
Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
-
D.
Sandesh
Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
-
E.
aloo paratha
Aloo paratha is a popular North Indian flatbread stuffed with spiced mashed potatoes, commonly eaten with butter, yogurt, or pickles.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659535448190b60cb4b0ad2972b6 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5645808190a774d96cfe5c5e58 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adbff32038819088dffc71e8376821 |
completed | March 8, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc084c9b88190a0d53f5c7c459611 |
completed | March 8, 2026, 6:31 p.m. |
Created at: March 4, 2026, 7:32 p.m.