Triple
T37539290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talador |
E933284
|
entity |
| Predicate | majorRacePresence |
P193702
|
FINISHED |
| Object | draenei |
—
|
NE NERFINISHED |
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: draenei | Statement: [Talador, majorRacePresence, draenei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRacePresence Context triple: [Talador, majorRacePresence, draenei]
-
A.
majorRace
Indicates that the referenced race is the primary or most significant racial category associated with an entity.
-
B.
hasMajorRace
chosen
Indicates that an entity participates in or is associated with a primary or most significant race or racing event.
-
C.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
D.
racesPrimarilyIn
Indicates that an entity (such as a racer or racing team) mainly competes in a particular racing category, series, or environment.
-
E.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: May 3, 2026, 4:17 p.m.