Triple
T10707299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islesboro, Maine |
E252439
|
entity |
| Predicate | offersGradeLevels |
P87389
|
FINISHED |
| Object | K–12 |
—
|
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: K–12 | Statement: [Islesboro, Maine, offersGradeLevels, K–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersGradeLevels Context triple: [Islesboro, Maine, offersGradeLevels, K–12]
-
A.
offersGrades
Indicates that one entity provides or assigns academic grades to another entity.
-
B.
servesGradeLevels
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
C.
orderGradeLevel
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
D.
offersLevelOfStudy
Indicates that an institution or program provides a particular level or type of study (e.g., undergraduate, graduate, doctoral) as an available option.
-
E.
offersGradeRange
chosen
Indicates that an entity provides educational instruction or services spanning a specified range of grade levels.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fde080d48190830eaa863aad61ff |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:12 p.m.