Triple
T30561744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenchglen, Oregon |
E777862
|
entity |
| Predicate | Frenchglen Hotel |
P169847
|
FINISHED |
| Object | listed on the National Register of Historic Places |
—
|
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: listed on the National Register of Historic Places | Statement: [Frenchglen, Oregon, Frenchglen Hotel, listed on the National Register of Historic Places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Frenchglen Hotel Context triple: [Frenchglen, Oregon, Frenchglen Hotel, listed on the National Register of Historic Places]
-
A.
Izaak Walton Inn
Indicates that an entity is located at, associated with, or taking place at the Izaak Walton Inn.
-
B.
WestReserve
Indicates that one entity is located to the west of, or serves as a western reserve or reserved area relative to, another entity.
-
C.
mountainHotelIsOneOf
Indicates that something belongs to or is a member of the specified set or category of mountain hotels.
-
D.
RockefellerForest
Indicates a relationship where something is located in, associated with, or part of Rockefeller Forest.
-
E.
isResortOf
Indicates that a location or facility functions as a resort associated with, belonging to, or serving a particular entity (such as a city, region, or organization).
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f688d92b748190a69e5b66ace513be |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:21 p.m.