Triple
T7489594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penncrest High School (serving area) |
E176970
|
entity |
| Predicate | assignmentBasis |
P76535
|
FINISHED |
| Object | student home address |
—
|
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: student home address | Statement: [Penncrest High School (serving area), assignmentBasis, student home address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assignmentBasis Context triple: [Penncrest High School (serving area), assignmentBasis, student home address]
-
A.
assignmentType
Indicates the specific category or kind of assignment associated with an entity or activity.
-
B.
assessmentBasis
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
-
C.
assignedUnder
Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
-
D.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
-
E.
calculationBasis
Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55abcd481909e42ca857fe46cd1 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:43 p.m.