Triple
T19688564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USAFPOA |
E472774
|
entity |
| Predicate | theaterLevel |
P136928
|
FINISHED |
| Object | operational level of war |
—
|
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: operational level of war | Statement: [USAFPOA, theaterLevel, operational level of war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theaterLevel Context triple: [USAFPOA, theaterLevel, operational level of war]
-
A.
theaterLevelSupport
Indicates support activities or resources provided at the broader theater (regional/operational area) level to enable or sustain operations, rather than at local or tactical levels.
-
B.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
C.
theaterPriority
Indicates that one entity is given precedence or higher importance over others in the context of theater-related activities, resources, or scheduling.
-
D.
theaterRequirement
Indicates that a certain condition, resource, or specification is required for a theater-related activity, production, or venue to be valid or properly supported.
-
E.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420e5b788190a63ff6b83383b0e8 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.