Triple
T5010593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oflag POW camps |
E112608
|
entity |
| Predicate | typicalSecurityLevel |
P60827
|
FINISHED |
| Object | medium security |
—
|
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: medium security | Statement: [Oflag POW camps, typicalSecurityLevel, medium security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSecurityLevel Context triple: [Oflag POW camps, typicalSecurityLevel, medium security]
-
A.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
-
B.
typicalCommandLevel
Indicates the usual or standard level of authority or access at which a command is intended to be executed.
-
C.
securityType
Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
-
D.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
-
E.
protectionLevel
Indicates the degree or extent to which something is safeguarded against harm, risk, or unauthorized access.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730bdb208190bebd7f22839ab6e5 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:35 p.m.