Triple
T35011257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redguards |
E1009943
|
entity |
| Predicate | racialBonus |
P181486
|
FINISHED |
| Object | One-Handed weapons |
—
|
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: One-Handed weapons | Statement: [Redguards, racialBonus, One-Handed weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racialBonus Context triple: [Redguards, racialBonus, One-Handed weapons]
-
A.
damageBonus
Indicates that an entity receives an additional amount of damage dealt beyond its base damage value.
-
B.
racialAbility
chosen
Indicates a relationship where a particular race or ethnicity is associated with a specific ability, trait, or power.
-
C.
effectOnRace
Indicates that one entity has an influence or impact on the outcome, dynamics, or characteristics of a race.
-
D.
raceTrait
Indicates that a particular trait or characteristic is associated with, or determined by, an entity’s race.
-
E.
primaryRaceAlignment
Indicates how an entity’s main racial identity or classification is aligned, categorized, or associated within a defined racial framework or system.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.