Triple
T31903423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakiur Rehman Lakhvi |
E814482
|
entity |
| Predicate | bountyAmountCurrency |
P27041
|
FINISHED |
| Object | USD |
—
|
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: USD | Statement: [Zakiur Rehman Lakhvi, bountyAmountCurrency, USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bountyAmountCurrency Context triple: [Zakiur Rehman Lakhvi, bountyAmountCurrency, USD]
-
A.
bounty
Indicates that a reward or payment is offered for performing a specific action or achieving a particular outcome related to an entity.
-
B.
prizeMoneyCurrency
chosen
Indicates the currency in which the prize money is denominated or paid.
-
C.
monetaryReward
Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
-
D.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
E.
redemptionCurrency
Indicates that one entity specifies the type of currency or medium used to redeem value, rewards, or benefits from another entity.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1b18c30819098ac3103f54ad310 |
completed | May 3, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, midnight