Triple
T13279170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billerica Public Schools |
E316272
|
entity |
| Predicate | schoolColorsOfHighSchool |
P19185
|
FINISHED |
| Object | green and white |
—
|
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: green and white | Statement: [Billerica Public Schools, schoolColorsOfHighSchool, green and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolColorsOfHighSchool Context triple: [Billerica Public Schools, schoolColorsOfHighSchool, green and white]
-
A.
hasSchoolColours
chosen
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
B.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
C.
highSchoolTeam
Indicates that one entity is a sports team (or similar organized group) that represents or is affiliated with a particular high school.
-
D.
schoolBrand
Indicates that one entity is the brand, label, or marketing identity associated with a particular school or educational institution.
-
E.
colorAssociatedInstitution
Indicates that a particular color is characteristically linked or symbolically connected to an 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.