Triple
T37514833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grinding Gear Games |
E932608
|
entity |
| Predicate | businessModelForPathOfExile |
P101504
|
FINISHED |
| Object | free-to-play |
—
|
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: free-to-play | Statement: [Grinding Gear Games, businessModelForPathOfExile, free-to-play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessModelForPathOfExile Context triple: [Grinding Gear Games, businessModelForPathOfExile, free-to-play]
-
A.
businessModelType
Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
-
B.
businessModelElement
chosen
Indicates that one entity functions as a component or element within the overall business model of another entity.
-
C.
businessModelExposure
Indicates the extent to which one entity’s business model is affected, influenced, or put at risk by another entity’s business model or related practices.
-
D.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
E.
businessModelWorkedOn
Indicates that an entity has actively developed, contributed to, or worked on a particular business model.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.