Triple
T29878937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 314th Bombardment Wing |
E758821
|
entity |
| Predicate | primaryTargetCountry |
P203569
|
FINISHED |
| Object | Japan |
E174
|
NE 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: Japan | Statement: [314th Bombardment Wing, primaryTargetCountry, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTargetCountry Context triple: [314th Bombardment Wing, primaryTargetCountry, Japan]
-
A.
primaryReferenceCountry
Indicates the main country that serves as the primary point of reference or association for the related entity.
-
B.
primaryRouteCountry
Indicates the country that serves as the main or principal route location associated with the subject.
-
C.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
D.
primaryUseCountry
Indicates the country in which something is primarily used or most commonly utilized.
-
E.
primaryDomesticDestination
Indicates that one location is the main or most significant destination within the same country for travel, transport, or activity originating from another location.
- F. None of above. chosen
Provenance (5 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01a534a8908190aa888d6be5deb824 |
completed | May 11, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26f1cf642881909362077f3082b1dd |
completed | June 8, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_6a01a507c1f081909ff6abc5575db0bb |
completed | May 11, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_6a01a533c7d481909bdbdc13edd023f8 |
completed | May 11, 2026, 9:45 a.m. |
Created at: April 29, 2026, 5:57 p.m.