Triple
T28561325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Suarez |
E722550
|
entity |
| Predicate | hasJurisdictionAsMayor |
P111469
|
FINISHED |
| Object | Miami, Florida |
—
|
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: Miami, Florida | Statement: [Francis Suarez, hasJurisdictionAsMayor, Miami, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJurisdictionAsMayor Context triple: [Francis Suarez, hasJurisdictionAsMayor, Miami, Florida]
-
A.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
hasBoroughPresidentJurisdiction
Indicates that a borough president has official authority or administrative jurisdiction over a specified geographic or political area.
-
C.
hasMayorOffice
Indicates that a particular entity serves as the office or official position held by a mayor of another entity.
-
D.
hasCityRight
Indicates that an entity possesses legal or official rights associated with a particular city, such as jurisdiction, privileges, or authority within that city.
-
E.
mayHaveJurisdictionOver
chosen
Indicates that one authority, entity, or body is potentially empowered to exercise legal or official control over another entity, case, or matter.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:05 a.m.