Triple
T13560482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fregon (Kaltjiti) |
E323893
|
entity |
| Predicate | hasCommunityStore |
P23299
|
FINISHED |
| Object | Fregon community store |
—
|
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: Fregon community store | Statement: [Fregon (Kaltjiti), hasCommunityStore, Fregon community store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityStore Context triple: [Fregon (Kaltjiti), hasCommunityStore, Fregon community store]
-
A.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
B.
hasShop
chosen
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
C.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
-
D.
hasRetailStores
Indicates that an entity operates or possesses one or more physical retail store locations.
-
E.
hasShopsOn
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.