Triple
T547326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delhi Sultanate |
E12760
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
tanka
The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
|
E68261
|
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: tanka | Statement: [Delhi Sultanate, currency, tanka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tanka Context triple: [Delhi Sultanate, currency, tanka]
-
A.
Tennō Tanjōbi
Tennō Tanjōbi is Japan’s national holiday celebrating the reigning emperor’s birthday, observed on a date that changes with each new emperor.
-
B.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
C.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
-
D.
Kigensetsu
Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
-
E.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
- 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: tanka Triple: [Delhi Sultanate, currency, tanka]
Generated description
The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tanka Target entity description: The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
-
A.
Tennō Tanjōbi
Tennō Tanjōbi is Japan’s national holiday celebrating the reigning emperor’s birthday, observed on a date that changes with each new emperor.
-
B.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
C.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
-
D.
Kigensetsu
Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
-
E.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e2e8c88190a66d759ed3094e18 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d044b03c8190b7c87b0da05e4d6e |
completed | March 1, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69a4d0daca588190a6a1865ae3d12c71 |
completed | March 1, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4d18801248190afedd4ea5f718bd7 |
completed | March 1, 2026, 11:53 p.m. |
Created at: March 1, 2026, 7:32 p.m.