Triple
T35232062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberts County, South Dakota |
E1017264
|
entity |
| Predicate | hasSignificantReservation |
P195369
|
FINISHED |
| Object | Lake Traverse Indian Reservation |
—
|
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: Lake Traverse Indian Reservation | Statement: [Roberts County, South Dakota, hasSignificantReservation, Lake Traverse Indian Reservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantReservation Context triple: [Roberts County, South Dakota, hasSignificantReservation, Lake Traverse Indian Reservation]
-
A.
hasPrimaryReservation
Indicates that an entity holds the main or first-priority reservation associated with another entity or resource.
-
B.
hasReservationOf
Indicates that one entity holds or possesses a reservation for another entity (such as a service, resource, or event).
-
C.
hasReservationFor
Indicates that an entity holds or is associated with a reservation for a specific event, service, or resource.
-
D.
hasReservationIn
Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
-
E.
isReservationOf
Indicates that a given reservation entity is specifically associated with, or made for, a particular resource, service, or event.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: May 3, 2026, 4:02 p.m.