Triple
T37866027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodge Grass, Montana |
E944470
|
entity |
| Predicate | hasLocalCulturalFocus |
P185204
|
FINISHED |
| Object | Crow cultural traditions |
—
|
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: Crow cultural traditions | Statement: [Lodge Grass, Montana, hasLocalCulturalFocus, Crow cultural traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalCulturalFocus Context triple: [Lodge Grass, Montana, hasLocalCulturalFocus, Crow cultural traditions]
-
A.
hasCulturalFocusOn
chosen
Indicates that an entity is primarily concerned with, oriented toward, or thematically centered on a particular culture or cultural aspect.
-
B.
hasLocalCult
Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
-
C.
hasCulturalScope
Indicates that a relationship or action is limited to, relevant within, or characterized by a particular cultural context or domain.
-
D.
hasCulturalCommunity
Indicates that an entity is associated with, belongs to, or is part of a specific cultural community.
-
E.
hasCulturalAttractions
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:19 p.m.