Triple
T19001502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis X. Suarez |
E464963
|
entity |
| Predicate | termAsUSConferenceOfMayorsPresident |
P118974
|
FINISHED |
| Object | 2022-2023 |
—
|
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: 2022-2023 | Statement: [Francis X. Suarez, termAsUSConferenceOfMayorsPresident, 2022-2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsUSConferenceOfMayorsPresident Context triple: [Francis X. Suarez, termAsUSConferenceOfMayorsPresident, 2022-2023]
-
A.
associatedPresident
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
-
B.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
C.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
D.
presidentParticipation
chosen
Indicates that an entity participates in an event, activity, or role specifically in the capacity of a president.
-
E.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d687cb2081909bf3ac761e292f22 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.