Triple
T15500659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 Chicago mayoral election |
E378942
|
entity |
| Predicate | timeInOfficeOfWinnerAtElection |
P17403
|
FINISHED |
| Object | since 1955 |
—
|
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: since 1955 | Statement: [1967 Chicago mayoral election, timeInOfficeOfWinnerAtElection, since 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeOfWinnerAtElection Context triple: [1967 Chicago mayoral election, timeInOfficeOfWinnerAtElection, since 1955]
-
A.
numberOfTermInOffice
Indicates the specific ordinal count of how many terms an entity has served in a particular office or position.
-
B.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
C.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
D.
winningPartyLeaderSince
Indicates that the subject has been serving as the leader of the party that won a particular election since the specified point in time.
-
E.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:54 a.m.