Triple
T16028910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mubarak Shah Khalji |
E388790
|
entity |
| Predicate | currencyUsed |
P188
|
FINISHED |
| Object | tanka |
E68261
|
NE FINISHED |
How this triple was built (2 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: [Mubarak Shah Khalji, currencyUsed, tanka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tanka Context triple: [Mubarak Shah Khalji, currencyUsed, tanka]
-
A.
tanka
chosen
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.
-
B.
Haiku
Haiku is a small, rural community on Maui’s lush North Shore known for its tropical landscapes, agriculture, and laid-back local lifestyle.
-
C.
Haiku
Haiku is an open-source, lightweight desktop operating system inspired by BeOS, designed for speed, simplicity, and consistency.
-
D.
Temwaiku
Temwaiku is a village and district within South Tarawa in Kiribati, known as one of the populated islets forming the country's capital area.
-
E.
Tanka people
The Tanka people are a traditionally boat-dwelling ethnic subgroup in southern China, especially in the coastal and river regions of Guangdong and nearby areas, known for their distinct maritime culture and customs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832a56ec8190a47fd2cf83a42fd4 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.