Triple
T16654241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 78th Air Base Wing |
E404683
|
entity |
| Predicate | hasMissionArea |
P3116
|
FINISHED |
| Object | logistics |
—
|
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: logistics | Statement: [78th Air Base Wing, hasMissionArea, logistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMissionArea Context triple: [78th Air Base Wing, hasMissionArea, logistics]
-
A.
hasMissionIn
Indicates that an entity carries out, undertakes, or is assigned a mission within a specified location or region.
-
B.
hadMissionRegion
Indicates that an entity’s mission or operational activity took place in, or was focused on, a specified geographic region.
-
C.
hasMissionSystem
Indicates that an entity is equipped with or associated with a specific mission-related system or subsystem.
-
D.
containsMission
Indicates that one entity includes or encompasses a mission as part of its contents, scope, or responsibilities.
-
E.
hasMissionActivity
chosen
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf92de48190aaae3e93039b17f3 |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.