Triple
T19475601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Washington |
E487237
|
entity |
| Predicate | isSeparateTicketFrom |
P91620
|
FINISHED |
| Object | Governor of Washington in elections |
—
|
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: Governor of Washington in elections | Statement: [Lieutenant Governor of Washington, isSeparateTicketFrom, Governor of Washington in elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeparateTicketFrom Context triple: [Lieutenant Governor of Washington, isSeparateTicketFrom, Governor of Washington in elections]
-
A.
separateTicketFromBase
chosen
Indicates that a ticket is detached or treated independently from its original base item or grouping.
-
B.
ticketOfTarget
Indicates that one entity is a ticket associated with, or issued for, a specific target entity.
-
C.
separateAdmissionRequired
Indicates that access to this entity or activity is not covered by a general entry and requires an additional, distinct admission or ticket.
-
D.
usesIntegratedTicketValidAcrossOperators
Indicates that an entity uses a single integrated ticket that remains valid for travel across multiple transport operators.
-
E.
usedForTicketType
Indicates that something is utilized or applicable for a specific type or category of ticket.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f126988190890ff8e5730e4ad3 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.