Triple
T14391382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Geographic District #10 |
E356849
|
entity |
| Predicate | governmentSector |
P59529
|
FINISHED |
| Object | public education |
—
|
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: public education | Statement: [New York City Geographic District #10, governmentSector, public education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentSector Context triple: [New York City Geographic District #10, governmentSector, public education]
-
A.
governmentCategory
Indicates the type or classification of a government associated with an entity.
-
B.
governmentOffice
Indicates that an entity functions as an official administrative or governmental office responsible for carrying out public or state-related duties.
-
C.
governmentAdministration
Indicates that an entity is responsible for managing, directing, or overseeing the operations, policies, and functions of a government or public authority.
-
D.
budgetarySector
chosen
Indicates that an entity belongs to, is funded through, or is managed within a particular government or organizational budgetary sector.
-
E.
governmentBranch
Indicates that one entity functions as an official division or branch within the structure of a government.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.