Triple
T13630845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menominee Indian Reservation |
E325712
|
entity |
| Predicate | hasReservationStatusRestoredInYear |
P111371
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Menominee Indian Reservation, hasReservationStatusRestoredInYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReservationStatusRestoredInYear Context triple: [Menominee Indian Reservation, hasReservationStatusRestoredInYear, 1973]
-
A.
hasReservationStatus
Indicates that an entity is associated with a specific reservation and the current status or state of that reservation (e.g., pending, confirmed, canceled).
-
B.
hasReservationIn
Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
-
C.
hasReservationFor
Indicates that an entity holds or is associated with a reservation for a specific event, service, or resource.
-
D.
hasReserveStatus
Indicates that an entity holds a designated reserve or backup status in relation to another entity or role.
-
E.
reservationStatus
Indicates the current state or condition of a reservation within its lifecycle (e.g., pending, confirmed, canceled, completed).
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.