Triple
T8185249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commack Union Free School District |
E191164
|
entity |
| Predicate | schoolColorsAtHighSchool |
P19185
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Commack Union Free School District, schoolColorsAtHighSchool, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolColorsAtHighSchool Context triple: [Commack Union Free School District, schoolColorsAtHighSchool, black]
-
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.
highSchoolTeam
Indicates that one entity is a sports team (or similar organized group) that represents or is affiliated with a particular high school.
-
C.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
D.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
-
E.
highSchoolForMostStudents
Indicates that the referenced school is the primary high school attended by the majority of students in a given group or area.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c507f248190b599b4a629b7518a |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.