Triple
T30149234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waverly, Nebraska |
E766347
|
entity |
| Predicate | hasLevelOfSchool |
P165319
|
FINISHED |
| Object | elementary school |
—
|
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: elementary school | Statement: [Waverly, Nebraska, hasLevelOfSchool, elementary school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelOfSchool Context triple: [Waverly, Nebraska, hasLevelOfSchool, elementary school]
-
A.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
B.
hasSchoolSystemLevel
chosen
Indicates that an educational institution is associated with a particular level or tier within a school system (e.g., primary, secondary, tertiary).
-
C.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
D.
hasEducationalStatus
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
-
E.
hasPrimarySchoolLevel
Indicates that an entity possesses or is associated with a primary (elementary) level of schooling or 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 29, 2026, 7:19 p.m.