Triple
T34797588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunmer |
E1003132
|
entity |
| Predicate | homelandFeature |
P181484
|
FINISHED |
| Object | Red Mountain |
—
|
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: Red Mountain | Statement: [Dunmer, homelandFeature, Red Mountain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homelandFeature Context triple: [Dunmer, homelandFeature, Red Mountain]
-
A.
exampleHomeland
Indicates that a location serves as the native land or place of origin associated with an entity.
-
B.
viewOfHomeland
Indicates a perspective, opinion, or emotional attitude that an entity holds toward its homeland.
-
C.
homelandEnvironment
Indicates the typical natural or ecological setting that characterizes an entity’s place of origin or native region.
-
D.
hasHomeland
Indicates that an entity considers or recognizes a particular place or region as its homeland or place of origin.
-
E.
wasHomelandIn
Indicates that a location historically served as the homeland or place of origin for a specified group or entity.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab085088190ace5734dcc9f1167 |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.