Triple
T22273247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 United States Senate election in California |
E550533
|
entity |
| Predicate | electedToTermNumber |
P77824
|
FINISHED |
| Object | second term |
—
|
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: second term | Statement: [1998 United States Senate election in California, electedToTermNumber, second term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedToTermNumber Context triple: [1998 United States Senate election in California, electedToTermNumber, second term]
-
A.
electedForTerm
chosen
Indicates that an entity has been chosen through an election to hold a position or office for a specified term or duration.
-
B.
legislativeTermNumber
Indicates the ordinal number assigned to a specific legislative term within a sequence of legislative periods.
-
C.
isElectedEvery
Indicates that an entity is chosen for a role or position through an election process at every specified interval or in every relevant instance.
-
D.
electionNumber
Indicates the specific ordinal or identifying number assigned to a particular election within a series or system of elections.
-
E.
appointedTerm
Indicates that an entity has been officially assigned to hold a position or role for a specified term or duration.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.