Triple
T10369556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlingame School District |
E244342
|
entity |
| Predicate | levelServed |
P93618
|
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: [Burlingame School District, levelServed, elementary school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelServed Context triple: [Burlingame School District, levelServed, elementary school]
-
A.
lowerLevelServes
Indicates that a lower-level component, service, or entity provides functionality or support to a higher-level component, service, or entity.
-
B.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
C.
serviceLevel
Indicates the degree or quality of service provided or received in the relationship between entities.
-
D.
servesSkillLevel
Indicates that one entity provides or is appropriate for a particular level of skill in another entity.
-
E.
level1Feature
Indicates that one entity possesses or is associated with a primary or first-tier feature of another entity.
- F. None of above. chosen
Provenance (4 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9725fa08190816bedf0acefbc2a |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:01 p.m.