Triple
T5508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago, Illinois, United States |
E108
|
entity |
| Predicate | executiveHeadTitle |
P329
|
FINISHED |
| Object | Mayor of Chicago |
—
|
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: Mayor of Chicago | Statement: [Chicago, Illinois, United States, executiveHeadTitle, Mayor of Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executiveHeadTitle Context triple: [Chicago, Illinois, United States, executiveHeadTitle, Mayor of Chicago]
-
A.
headOfGovernmentTitle
chosen
Indicates the official title held by the person who serves as the head of a government.
-
B.
headOfGovernment
Indicates that one entity serves as the chief executive authority or leader of the government of another entity.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
E.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23c24b3d08190a714126292fd5479 |
completed | Feb. 28, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69a23998af288190855f0456740cbd51 |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.