Triple
T18968463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallahassee |
E464102
|
entity |
| Predicate | hasMayorCommissioner |
P185
|
FINISHED |
| Object | John E. Dailey |
—
|
NE NERFINISHED |
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: John E. Dailey | Statement: [Tallahassee, hasMayorCommissioner, John E. Dailey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMayorCommissioner Context triple: [Tallahassee, hasMayorCommissioner, John E. Dailey]
-
A.
hasMayor
chosen
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
hasMayorOffice
Indicates that a particular entity serves as the office or official position held by a mayor of another entity.
-
C.
conferenceCommissioner
Indicates that an entity serves as the commissioner (governing or overseeing authority) of a particular conference.
-
D.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
E.
originalCommissionerOf
Indicates that one entity is the person or organization that initially commissioned, ordered, or requested the creation or execution of another entity (such as a work, project, or service).
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6172888819090a8b3cb1db20496 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon