Triple
T24843969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45th Ward of Chicago |
E621690
|
entity |
| Predicate | representedByOffice |
P97857
|
FINISHED |
| Object | alderperson |
—
|
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: alderperson | Statement: [45th Ward of Chicago, representedByOffice, alderperson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedByOffice Context triple: [45th Ward of Chicago, representedByOffice, alderperson]
-
A.
representsOfficeOf
Indicates that one entity serves as the official office or administrative location associated with another entity.
-
B.
representsInOffice
Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
-
C.
representedInOffice
chosen
Indicates that an entity serves as an official representative of another entity within a specific office or governmental body.
-
D.
representedFor
Indicates that one entity has acted or served as the official representative or proxy on behalf of another entity.
-
E.
determinedOfficeHolderOf
Indicates that an authority or process has officially selected or designated a specific individual to hold a particular office or position.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 18, 2026, 5:19 a.m.