Triple
T13066856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weston High School |
E329347
|
entity |
| Predicate | stateSchoolID |
P87092
|
FINISHED |
| Object | Connecticut public 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: Connecticut public school | Statement: [Weston High School, stateSchoolID, Connecticut public school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateSchoolID Context triple: [Weston High School, stateSchoolID, Connecticut public school]
-
A.
schoolDistrictNumber
Indicates the specific numerical identifier assigned to the school district with which an entity is associated.
-
B.
nationalSchool
Indicates that a school is designated, administered, or officially recognized at the national (country-wide) level rather than local or regional.
-
C.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
D.
schoolURN
chosen
Indicates a unique institutional identifier that links an entity specifically to a particular school.
-
E.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:59 p.m.