Triple
T17712467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyes of the High Ground |
E441603
|
entity |
| Predicate | associatedWithMissionArea |
P35324
|
FINISHED |
| Object | intelligence |
—
|
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: intelligence | Statement: [Eyes of the High Ground, associatedWithMissionArea, intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMissionArea Context triple: [Eyes of the High Ground, associatedWithMissionArea, intelligence]
-
A.
supportsMissionArea
Indicates that one entity contributes to, enables, or aligns with the objectives and activities of a specified mission area.
-
B.
relatedMission
Indicates that one mission is connected or associated with another mission in a meaningful way, such as by shared goals, context, participants, or timeline.
-
C.
beyondMissionAssociatedWith
Indicates a relationship where something is connected or linked to a mission in a way that extends beyond the mission’s core or primary scope.
-
D.
missionAssociation
chosen
Indicates a relationship where an entity is connected to, involved in, or associated with a particular mission or organized endeavor.
-
E.
assignedToArea
Indicates that something has been allocated or designated to a specific area or region.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729c2c98819086fe48420217308d |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.