Triple
T1165969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Lightfoot |
E24799
|
entity |
| Predicate | officeStartTime (Mayor of Chicago) |
P17454
|
FINISHED |
| Object | 2019-05-20 |
—
|
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: 2019-05-20 | Statement: [Lori Lightfoot, officeStartTime (Mayor of Chicago), 2019-05-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Mayor of Chicago) Context triple: [Lori Lightfoot, officeStartTime (Mayor of Chicago), 2019-05-20]
-
A.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
B.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
C.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
D.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
E.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.