Triple
T25824862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of John Glover |
E650500
|
entity |
| Predicate | subjectMilitaryUnit |
P142072
|
FINISHED |
| Object | Marblehead Regiment |
—
|
NE NERFINISHED |
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: Marblehead Regiment | Statement: [Statue of John Glover, subjectMilitaryUnit, Marblehead Regiment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectMilitaryUnit Context triple: [Statue of John Glover, subjectMilitaryUnit, Marblehead Regiment]
-
A.
stateMilitaryUnitOf
Indicates that a military unit is organized, controlled, or officially associated with a particular state or governmental jurisdiction.
-
B.
isAboutMilitaryUnit
chosen
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
-
C.
militaryUnitName
Indicates the specific official name assigned to a military unit in the context of a broader relationship or record.
-
D.
militaryUnitOf
Indicates that one entity is a military unit that belongs to, is part of, or is under the command or organizational structure of another entity.
-
E.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 7:32 a.m.