Triple
T32680069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Hubbard |
E835552
|
entity |
| Predicate | hasPlaceOfEducation |
P86973
|
FINISHED |
| Object | Sandy Hook Elementary School |
—
|
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: Sandy Hook Elementary School | Statement: [Catherine Hubbard, hasPlaceOfEducation, Sandy Hook Elementary School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaceOfEducation Context triple: [Catherine Hubbard, hasPlaceOfEducation, Sandy Hook Elementary School]
-
A.
hasFurtherEducationInstitution
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
-
B.
educationLocation
chosen
Indicates the place or institution where an entity received education or underwent formal learning.
-
C.
hasEducationIn
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
-
D.
hasEducationInstitutionAppliedTo
Indicates that an entity has submitted an application to a particular educational institution.
-
E.
hasCurrentHigherEducationInstitution
Indicates that a person is presently enrolled in or affiliated with a specific higher education institution.
- 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:09 a.m.