Triple
T416236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Cross 1st Class |
E9598
|
entity |
| Predicate | reinstated |
P6258
|
FINISHED |
| Object | 1870 |
—
|
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: 1870 | Statement: [Iron Cross 1st Class, reinstated, 1870]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reinstated Context triple: [Iron Cross 1st Class, reinstated, 1870]
-
A.
restored
chosen
Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
-
B.
repealed
Indicates that a law, rule, or regulation has been officially revoked or annulled so that it no longer has legal effect.
-
C.
recommissioned
Indicates that something previously deactivated, retired, or out of service has been restored and formally returned to active use or operation.
-
D.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
E.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.