Triple
T24735447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester City Hall |
E618400
|
entity |
| Predicate | executiveBranchSeat |
P52723
|
FINISHED |
| Object | Office of the Mayor of Rochester |
—
|
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: Office of the Mayor of Rochester | Statement: [Rochester City Hall, executiveBranchSeat, Office of the Mayor of Rochester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executiveBranchSeat Context triple: [Rochester City Hall, executiveBranchSeat, Office of the Mayor of Rochester]
-
A.
hasExecutiveSeat
Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
-
B.
seatOfGovernmentBranch
chosen
Indicates the branch or division of government for which a particular location serves as the seat of authority or administration.
-
C.
seatInGovernment
Indicates that an entity holds an official position or membership within a governmental body or institution.
-
D.
governorOfficeSeat
Indicates the location (seat) where a governor’s official office is situated.
-
E.
seatInGovernmentHierarchy
Indicates that an entity holds a specific position or rank within a structured governmental hierarchy.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:03 a.m.