Triple
T4012681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Candidate School (United States Navy) |
E90681
|
entity |
| Predicate | moveEffectiveYear |
P23631
|
FINISHED |
| Object | mid-2000s |
—
|
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: mid-2000s | Statement: [Officer Candidate School (United States Navy), moveEffectiveYear, mid-2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moveEffectiveYear Context triple: [Officer Candidate School (United States Navy), moveEffectiveYear, mid-2000s]
-
A.
effectiveYear
chosen
Indicates the calendar year in which something (such as a rule, status, or agreement) becomes valid or takes effect.
-
B.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
-
C.
clubMoveYear
Indicates the year in which an entity changes or transfers its affiliation to a different club.
-
D.
relocationYear
Indicates the year in which an entity was moved or transferred from one location to another.
-
E.
movementDate
Indicates the date on which a movement, transfer, or relocation event occurs.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.