Triple
T14289565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weapons Company, 2nd Battalion, 5th Marines |
E354271
|
entity |
| Predicate | typicalPersonnelType |
P11881
|
FINISHED |
| Object | Marine infantry weapons specialists |
—
|
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: Marine infantry weapons specialists | Statement: [Weapons Company, 2nd Battalion, 5th Marines, typicalPersonnelType, Marine infantry weapons specialists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPersonnelType Context triple: [Weapons Company, 2nd Battalion, 5th Marines, typicalPersonnelType, Marine infantry weapons specialists]
-
A.
personnelType
chosen
Indicates the classification or role category assigned to a person within an organization or system.
-
B.
personType
Indicates that an entity is classified as a particular type or category of person.
-
C.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
D.
typicalConstituentType
Indicates the usual or characteristic type of component that typically makes up or forms part of something.
-
E.
representedEmployeeType
Indicates that one entity serves as a representative or exemplar of a particular type or category of employee for another 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.