Triple
T21931211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totem Park Residence |
E541569
|
entity |
| Predicate | targetYearOfStudy |
P146601
|
FINISHED |
| Object | first year |
—
|
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: first year | Statement: [Totem Park Residence, targetYearOfStudy, first year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetYearOfStudy Context triple: [Totem Park Residence, targetYearOfStudy, first year]
-
A.
majorStudyYear
Indicates the academic year in which an entity (typically a student) is primarily engaged in a particular course of study or major.
-
B.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
-
C.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
offersPostgraduateYear
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
E.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ff16148190843d92bbc1e9bb24 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:47 p.m.