Triple
T84696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Rapids, Michigan |
E1703
|
entity |
| Predicate | mayorTitle |
P3342
|
FINISHED |
| Object | Mayor of Grand Rapids |
—
|
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 Grand Rapids | Statement: [Grand Rapids, Michigan, mayorTitle, Mayor of Grand Rapids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorTitle Context triple: [Grand Rapids, Michigan, mayorTitle, Mayor of Grand Rapids]
-
A.
mayorType
Indicates the specific category or role classification of a mayor in relation to their office or jurisdiction.
-
B.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
C.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
D.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
E.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4e73c081908d2da146226ef05e |
completed | Feb. 28, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69a24eb469548190b38c24e81f36c838 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.