Triple
T36185995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osman Ali |
E1046845
|
entity |
| Predicate | currencyUsedDuringReign |
P28053
|
FINISHED |
| Object | Hyderabadi rupee |
—
|
NE NERFINISHED |
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: Hyderabadi rupee | Statement: [Osman Ali, currencyUsedDuringReign, Hyderabadi rupee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyUsedDuringReign Context triple: [Osman Ali, currencyUsedDuringReign, Hyderabadi rupee]
-
A.
currencyDuringReign
chosen
Indicates the type of currency that was in use during the period of a specific ruler’s reign.
-
B.
capitalDuringReign
Indicates that a particular city or location served as the capital of a political entity during the reign of a specified ruler.
-
C.
capitalDuringEra
Indicates that a city or settlement served as the capital of a political entity during a specified historical era or time period.
-
D.
influencedCoinageOf
Indicates that one entity had an effect on the creation, choice, or formulation of another entity’s name or term.
-
E.
currencyOfTributeTo
Indicates the type of currency in which tribute is paid from one entity to another.
- F. None of above.
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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:08 p.m.