Triple
T10589290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malayali people |
E249939
|
entity |
| Predicate | traditionalDress |
P5541
|
FINISHED |
| Object |
Mundu
Mundu is a traditional South Indian garment, similar to a long wraparound skirt or dhoti, commonly worn by Malayali people in Kerala.
|
E872148
|
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: Mundu | Statement: [Malayali people, traditionalDress, Mundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mundu Context triple: [Malayali people, traditionalDress, Mundu]
-
A.
Mudon
Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
-
B.
Mudon
Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
-
C.
Munduk
Munduk is a scenic highland village in northern Bali, Indonesia, known for its cool climate, lush coffee and clove plantations, and numerous waterfalls.
-
D.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
-
E.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
- 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: Mundu Triple: [Malayali people, traditionalDress, Mundu]
Generated description
Mundu is a traditional South Indian garment, similar to a long wraparound skirt or dhoti, commonly worn by Malayali people in Kerala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mundu Target entity description: Mundu is a traditional South Indian garment, similar to a long wraparound skirt or dhoti, commonly worn by Malayali people in Kerala.
-
A.
Mudon
Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
-
B.
Mudon
Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
-
C.
Munduk
Munduk is a scenic highland village in northern Bali, Indonesia, known for its cool climate, lush coffee and clove plantations, and numerous waterfalls.
-
D.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
-
E.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277a39f08190848f24752cfa4b8f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b9440548190bff01847a940266b |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94ca13550819085b7824d8b5131e7 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:40 p.m.