Triple
T3773065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Darby High School |
E83240
|
entity |
| Predicate | isComprehensiveSchool |
P50839
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Upper Darby High School, isComprehensiveSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isComprehensiveSchool Context triple: [Upper Darby High School, isComprehensiveSchool, true]
-
A.
isComprehensiveUniversity
Indicates that a university offers a wide range of academic disciplines and degree levels, typically including both undergraduate and graduate programs across multiple fields.
-
B.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
C.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
D.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
E.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc57c9e48190a0f254e47348bf32 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:36 p.m.