Triple
T11562703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torwali |
E274181
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Turvali (variant transliteration)
Turvali is a variant transliteration of Torwali, an Indo-Aryan language spoken primarily in Pakistan’s Swat Valley.
|
E933558
|
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: Turvali (variant transliteration) | Statement: [Torwali, hasAlternativeName, Turvali (variant transliteration)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turvali (variant transliteration) Context triple: [Torwali, hasAlternativeName, Turvali (variant transliteration)]
-
A.
Tălmaciu
Tălmaciu is a small town in central Romania, located in Sibiu County in the historical region of Transylvania.
-
B.
Tervate
Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
-
C.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
D.
Varduva
Varduva is a river in northern Lithuania that serves as one of the tributaries of the Venta River.
-
E.
Tervalampi
Tervalampi is a small village in the municipality of Vihti in southern Finland, known for its rural landscape and lakeside surroundings.
- 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: Turvali (variant transliteration) Triple: [Torwali, hasAlternativeName, Turvali (variant transliteration)]
Generated description
Turvali is a variant transliteration of Torwali, an Indo-Aryan language spoken primarily in Pakistan’s Swat Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turvali (variant transliteration) Target entity description: Turvali is a variant transliteration of Torwali, an Indo-Aryan language spoken primarily in Pakistan’s Swat Valley.
-
A.
Tălmaciu
Tălmaciu is a small town in central Romania, located in Sibiu County in the historical region of Transylvania.
-
B.
Tervate
Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
-
C.
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
D.
Varduva
Varduva is a river in northern Lithuania that serves as one of the tributaries of the Venta River.
-
E.
Tervalampi
Tervalampi is a small village in the municipality of Vihti in southern Finland, known for its rural landscape and lakeside surroundings.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd2016481909b33848af3d1d6c1 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e89e73b481908175576f4ec8d39a |
completed | April 21, 2026, 3:01 a.m. |
| NEDg | Description generation | batch_69e6ef951eb881909810b5923385c4c6 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f92ed97c819081576add624dcc27 |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.