Triple
T11249903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undead Labs |
E266297
|
entity |
| Predicate | focusesOnGameMechanic |
P39812
|
FINISHED |
| Object | base building |
—
|
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: base building | Statement: [Undead Labs, focusesOnGameMechanic, base building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnGameMechanic Context triple: [Undead Labs, focusesOnGameMechanic, base building]
-
A.
gameplayMechanic
chosen
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.
-
B.
interactionMechanism
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
C.
gimmick
Indicates that an entity uses or features a novel, attention-grabbing trick or device primarily intended to attract interest rather than provide substantive value.
-
D.
focusMechanism
Indicates the method or process by which attention or emphasis is directed toward a particular entity or aspect within a context.
-
E.
rewardMechanism
Indicates a relationship where an entity provides or defines a system of incentives or compensation in response to certain actions, behaviors, or outcomes.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e93212448190b46b3799b0bdfa0f |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.