Triple
T18663234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Service |
E456255
|
entity |
| Predicate | broaderTermOf |
P57966
|
FINISHED |
| Object | active-duty military service |
—
|
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: active-duty military service | Statement: [Active Service, broaderTermOf, active-duty military service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broaderTermOf Context triple: [Active Service, broaderTermOf, active-duty military service]
-
A.
generalizationOf
Indicates that one entity represents a broader, more general concept or category that subsumes or abstracts over another, more specific entity.
-
B.
generalizationTo
chosen
Indicates that one concept or entity is a more general, abstract, or encompassing version of another, capturing a broader category or superset relationship.
-
C.
isLargestSubfamilyOf
Indicates that one group or category is the largest subfamily within another, typically in terms of number of members or size.
-
D.
broaderProcess
Indicates that one process encompasses, includes, or provides the larger context for another, more specific process.
-
E.
protégéOf
Indicates that one entity is mentored, trained, or guided in their development by another, more experienced entity.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508c0d088190bef46fb3a3001f10 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.