Triple
T1802671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil people |
E39754
|
entity |
| Predicate | traditionalFood |
P1016
|
FINISHED |
| Object |
Idli
Idli is a soft, steamed South Indian rice-and-lentil cake commonly eaten for breakfast and often served with sambar and chutneys.
|
E202426
|
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: Idli | Statement: [Tamil people, traditionalFood, Idli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idli Context triple: [Tamil people, traditionalFood, Idli]
-
A.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
-
B.
aloo paratha
Aloo paratha is a popular North Indian flatbread stuffed with spiced mashed potatoes, commonly eaten with butter, yogurt, or pickles.
-
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.
Rasgulla
Rasgulla is a popular Indian dessert made of soft, spongy balls of chhena (fresh curd cheese) cooked in light sugar syrup.
-
E.
Sandesh
Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
- 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: Idli Triple: [Tamil people, traditionalFood, Idli]
Generated description
Idli is a soft, steamed South Indian rice-and-lentil cake commonly eaten for breakfast and often served with sambar and chutneys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Idli Target entity description: Idli is a soft, steamed South Indian rice-and-lentil cake commonly eaten for breakfast and often served with sambar and chutneys.
-
A.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
-
B.
aloo paratha
Aloo paratha is a popular North Indian flatbread stuffed with spiced mashed potatoes, commonly eaten with butter, yogurt, or pickles.
-
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.
Rasgulla
Rasgulla is a popular Indian dessert made of soft, spongy balls of chhena (fresh curd cheese) cooked in light sugar syrup.
-
E.
Sandesh
Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
- 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_69adb5db1c7c81908c25e62dca1cb825 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b6d160819096dc02323049101d |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9bafd688190a66a835c6a8163e3 |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 4, 2026, 7:32 p.m.