Triple
T14073838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greenbrier |
E338678
|
entity |
| Predicate | bunkerDecommissioned |
P112708
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [The Greenbrier, bunkerDecommissioned, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bunkerDecommissioned Context triple: [The Greenbrier, bunkerDecommissioned, 1990s]
-
A.
decommissionedByJapan
Indicates that Japan officially took a given object, facility, or system out of active service or use.
-
B.
decommissionedWith
Indicates that an entity was taken out of service or retired in conjunction with, or as part of the same process as, another specified entity.
-
C.
decommissionedReason
Indicates the reason or cause for which an entity, typically an asset or system, was taken out of service or formally retired.
-
D.
bunkersPurpose
Indicates that one entity serves as the purpose, function, or intended use of a bunker or group of bunkers.
-
E.
aimedToBeDismantledBy
Indicates that one entity was the intended target of dismantling or disassembly by another entity.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.