Triple
T8779506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painted Desert Visitor Center |
E208687
|
entity |
| Predicate | hasBookstore |
P23299
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Painted Desert Visitor Center, hasBookstore, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBookstore Context triple: [Painted Desert Visitor Center, hasBookstore, yes]
-
A.
usedAsBookstoreTo
Indicates that one entity functions or is utilized as a bookstore for another entity.
-
B.
operatedBookstore
Indicates that one entity managed and ran the day-to-day operations of a bookstore owned or controlled by another entity.
-
C.
hasShop
chosen
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
D.
hasLibraryBranch
Indicates that an entity possesses or is associated with one or more library branches as part of its organizational structure or services.
-
E.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f548aa48190b2e73f292758e361 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.