Triple
T742680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Armed Forces education system |
E15276
|
entity |
| Predicate | includesInstitutionType |
P3814
|
FINISHED |
| Object | service academy |
—
|
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: service academy | Statement: [United States Armed Forces education system, includesInstitutionType, service academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesInstitutionType Context triple: [United States Armed Forces education system, includesInstitutionType, service academy]
-
A.
includesInstitution
chosen
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
B.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
C.
usedByInstitutionType
Indicates that something (such as a resource, tool, or service) is utilized or employed by a particular type or category of institution.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
recognizedAsInstitutionBy
Indicates that an entity is acknowledged or accepted as an institution by a specified recognizing party.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.