Triple
T37463837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witchwood (forest in Gilneas) |
E930984
|
entity |
| Predicate | hasPrimaryRacePresence |
P47742
|
FINISHED |
| Object | worgen |
—
|
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: worgen | Statement: [The Witchwood (forest in Gilneas), hasPrimaryRacePresence, worgen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryRacePresence Context triple: [The Witchwood (forest in Gilneas), hasPrimaryRacePresence, worgen]
-
A.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
B.
hasMajorRace
Indicates that an entity participates in or is associated with a primary or most significant race or racing event.
-
C.
hasAssociatedRace
chosen
Indicates that an entity is linked to or characterized by a particular race or racial classification.
-
D.
racesPrimarilyIn
Indicates that an entity (such as a racer or racing team) mainly competes in a particular racing category, series, or environment.
-
E.
previousPrimaryRace
Indicates that one race event is the immediately preceding primary race relative to another race in a sequence or schedule.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.