Triple
T1732981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Forces Japan |
E37853
|
entity |
| Predicate | typeOfPresence |
P31835
|
FINISHED |
| Object | forward-deployed force |
—
|
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: forward-deployed force | Statement: [U.S. Forces Japan, typeOfPresence, forward-deployed force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPresence Context triple: [U.S. Forces Japan, typeOfPresence, forward-deployed force]
-
A.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
B.
globalPresence
Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
-
C.
fieldPresence
Indicates that a particular field or attribute exists or is present within a given context, object, or dataset.
-
D.
onlinePresence
Indicates that an entity maintains a presence or representation on the internet, such as through websites, profiles, or digital platforms.
-
E.
mediaPresence
Indicates the extent to which something is visible, represented, or covered within various media channels or platforms.
- F. None of above. chosen
Provenance (4 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c54362881908895ab249cad8c1d |
completed | March 6, 2026, 10:59 p.m. |
Created at: March 4, 2026, 7:30 p.m.