Triple
T36354953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodbury City Public Schools |
E895315
|
entity |
| Predicate | schoolBoardMembersSelectedBy |
P156050
|
FINISHED |
| Object |
Mayor of Woodbury
The Mayor of Woodbury is the elected head of the municipal government in Woodbury, New Jersey, responsible for overseeing local administration and public policy.
|
E2180126
|
NE FINISHED |
How this triple was built (3 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 Woodbury | Statement: [Woodbury City Public Schools, schoolBoardMembersSelectedBy, Mayor of Woodbury]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mayor of Woodbury Triple: [Woodbury City Public Schools, schoolBoardMembersSelectedBy, Mayor of Woodbury]
Generated description
The Mayor of Woodbury is the elected head of the municipal government in Woodbury, New Jersey, responsible for overseeing local administration and public policy.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolBoardMembersSelectedBy Context triple: [Woodbury City Public Schools, schoolBoardMembersSelectedBy, Mayor of Woodbury]
-
A.
schoolBoardElected
Indicates that a school board has been chosen or selected through an election process.
-
B.
schoolBoardMembers
Indicates that certain individuals serve as members of a particular school board.
-
C.
schoolBoardMembersAppointedBy
chosen
Indicates that the members of a school board are selected and assigned to their positions by a specified appointing authority.
-
D.
schoolBoardSelectionMethod
Indicates how members of a school board are chosen or appointed.
-
E.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
- F. None of above.
Provenance (6 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39a32c17148190a5b1e2dc959a304d |
completed | June 22, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a39a5b63d1881908583df97864d064b |
completed | June 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39a6dfc1c881909a4985813be8fcdd |
completed | June 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.