Triple
T23929427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Mile Run greenway |
E602449
|
entity |
| Predicate | hasEducationGoal |
P102783
|
FINISHED |
| Object | public awareness of watershed issues |
—
|
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 awareness of watershed issues | Statement: [Nine Mile Run greenway, hasEducationGoal, public awareness of watershed issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationGoal Context triple: [Nine Mile Run greenway, hasEducationGoal, public awareness of watershed issues]
-
A.
educationGoal
chosen
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
-
B.
hasStudentDegreeGoal
Indicates that a student has a particular academic degree as their intended or targeted goal.
-
C.
hasEducationalStatus
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
-
D.
hasEducationalAchievement
Indicates that an entity has attained a specific level, degree, or form of formal educational accomplishment.
-
E.
seeksEducationFrom
Indicates that one entity pursues learning, training, or academic instruction from another entity as a source of education.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9a18248190b20991969921ecfd |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:55 p.m.