Triple
T38585590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackrock Foundry |
E932337
|
entity |
| Predicate | notableMechanics |
P141008
|
FINISHED |
| Object | conveyor belts |
—
|
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: conveyor belts | Statement: [Blackrock Foundry, notableMechanics, conveyor belts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMechanics Context triple: [Blackrock Foundry, notableMechanics, conveyor belts]
-
A.
notableLevelMechanic
Indicates that an entity is recognized for its significant involvement in designing, implementing, or innovating game level mechanics.
-
B.
gameplayMechanic
Indicates a relationship where one entity functions as a rule, system, or interactive feature that defines how another entity can be played or operated within a game.
-
C.
notableMechanicOrigin
chosen
Indicates that a mechanic is notably associated with or originates from a particular source, such as a creator, work, or context.
-
D.
notableGameFeature
Indicates that a particular game feature is especially significant, distinctive, or noteworthy in the context of the game.
-
E.
keyMechanic
Indicates that the referenced element functions as a central or essential gameplay mechanic within a system or experience.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.