Triple
T21045656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Military Academy |
E518440
|
entity |
| Predicate | operatedAsMilitarySchoolUntil |
P68526
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Georgia Military Academy, operatedAsMilitarySchoolUntil, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAsMilitarySchoolUntil Context triple: [Georgia Military Academy, operatedAsMilitarySchoolUntil, 1960s]
-
A.
operatedAsSchoolUntil
chosen
Indicates that an entity functioned in the role or capacity of a school up to a specified end time or date.
-
B.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
C.
isMilitarySchool
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
-
D.
servedAsEarlySchoolFor
Indicates that one entity functioned as an initial or predecessor school for another entity before it became a later or more formal educational institution.
-
E.
hasCorpsOfCadets
Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf3cac081909915a440fbb5c084 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:32 p.m.