Triple
T35138092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvenar |
E1014626
|
entity |
| Predicate | roleInDominion |
P203124
|
FINISHED |
| Object | Important city of the Aldmeri Dominion |
—
|
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: Important city of the Aldmeri Dominion | Statement: [Silvenar, roleInDominion, Important city of the Aldmeri Dominion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDominion Context triple: [Silvenar, roleInDominion, Important city of the Aldmeri Dominion]
-
A.
primaryRoleInDominion
Indicates that the subject holds the main or most important functional role within the specified dominion, domain, or sphere of authority.
-
B.
roleInDomino
Indicates that an entity participates in a domino effect or chain of events by occupying a specific role or position within that causal sequence.
-
C.
roleInDiceGame
Indicates the specific function or position an entity holds within the context of a dice game (e.g., shooter, dealer, scorer).
-
D.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
E.
roleInDUNE
Indicates that an entity has a specific acting role or participation in the production of the film "Dune."
- F. None of above. chosen
Provenance (4 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
| PDg | Predicate description generation | batch_6a0124a538a08190b42e6f35d216da74 |
completed | May 11, 2026, 12:36 a.m. |
Created at: May 3, 2026, 4:02 p.m.