Triple
T37421708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headquarters and Service Company (2nd Battalion, 8th Marines) |
E929872
|
entity |
| Predicate | nickNameOfParentUnit |
P52282
|
FINISHED |
| Object | America’s Battalion |
—
|
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: America’s Battalion | Statement: [Headquarters and Service Company (2nd Battalion, 8th Marines), nickNameOfParentUnit, America’s Battalion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nickNameOfParentUnit Context triple: [Headquarters and Service Company (2nd Battalion, 8th Marines), nickNameOfParentUnit, America’s Battalion]
-
A.
nicknameOfParentUnit
chosen
Indicates that one unit serves as an informal or alternative name (nickname) for its parent unit.
-
B.
nicknameOfUnitUsing
Indicates that one unit serves as an informal or alternative name (nickname) for another unit that is being used.
-
C.
unitName
Indicates that an entity is associated with, or identified by, a specific unit name (such as a measurement or organizational unit).
-
D.
hasParentUnit
Indicates that one unit is hierarchically contained within or belongs to another, higher-level unit.
-
E.
isNamedMilitaryUnit
Indicates that the subject is a military unit that has been given a specific official name.
- 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_69f76ebf0f288190ba198a78341613b8 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:16 p.m.