Triple
T36956909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasteland 2 |
E914211
|
entity |
| Predicate | crowdfundingGoal |
P175838
|
FINISHED |
| Object | 900000 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: 900000 USD | Statement: [Wasteland 2, crowdfundingGoal, 900000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crowdfundingGoal Context triple: [Wasteland 2, crowdfundingGoal, 900000 USD]
-
A.
kickstarterGoal
chosen
Indicates that a crowdfunding campaign has a specified funding target or goal amount on Kickstarter.
-
B.
crowdfundingGoalMet
Indicates that the funding target for a crowdfunding campaign has been reached or exceeded.
-
C.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
D.
kickstarterBackersCount
Indicates the number of people who have backed or pledged support to a project on Kickstarter.
-
E.
launchCostGoal
Indicates a target or intended cost level associated with launching something (e.g., a product, project, or mission).
- 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_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.