Triple
T36956910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasteland 2 |
E914211
|
entity |
| Predicate | crowdfundingAmountRaised |
P75026
|
FINISHED |
| Object | approximately 3000000 USD |
—
|
LITERAL 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: approximately 3000000 USD | Statement: [Wasteland 2, crowdfundingAmountRaised, approximately 3000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crowdfundingAmountRaised Context triple: [Wasteland 2, crowdfundingAmountRaised, approximately 3000000 USD]
-
A.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
B.
KickstarterAmountPledgedUSD
Indicates the total amount of money, expressed in U.S. dollars, that has been pledged to a Kickstarter project.
-
C.
crowdfundingGoalMet
Indicates that the funding target for a crowdfunding campaign has been reached or exceeded.
-
D.
approximateFundsRaised
chosen
Indicates an estimated amount of money that has been raised, rather than an exact or final total.
-
E.
kickstarterGoal
Indicates that a crowdfunding campaign has a specified funding target or goal amount on Kickstarter.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:13 p.m.