Triple
T27756975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Toccoa |
E701357
|
entity |
| Predicate | depictedUnit |
P51915
|
FINISHED |
| Object | Easy Company, 2nd Battalion, 506th Parachute Infantry 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: Easy Company, 2nd Battalion, 506th Parachute Infantry Regiment | Statement: [Camp Toccoa, depictedUnit, Easy Company, 2nd Battalion, 506th Parachute Infantry Regiment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedUnit Context triple: [Camp Toccoa, depictedUnit, Easy Company, 2nd Battalion, 506th Parachute Infantry Regiment]
-
A.
portraysMilitaryUnit
chosen
Indicates that one entity visually or narratively represents, depicts, or shows a specific military unit.
-
B.
listedUnit
Indicates that an entity is specified or recorded as a particular unit in a list or catalog.
-
C.
isAboutMilitaryUnit
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
-
D.
involvedUnit
Indicates that a particular unit (such as a group, organization, or division) participates in, is associated with, or plays a role in the referenced event or activity.
-
E.
depictsCommander
Indicates that one entity visually represents or portrays another entity in the role of a commander.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 4:24 p.m.