Triple
T19185686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Związek Harcerstwa Polskiego |
E469695
|
entity |
| Predicate | legalStatusDuring |
P54933
|
FINISHED |
| Object | banned under German occupation |
—
|
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: banned under German occupation | Statement: [Związek Harcerstwa Polskiego, legalStatusDuring, banned under German occupation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusDuring Context triple: [Związek Harcerstwa Polskiego, legalStatusDuring, banned under German occupation]
-
A.
legalStatusDuringEvent
chosen
Indicates the legal status or condition an entity holds specifically during the time period of a given event.
-
B.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
C.
legalStatusBefore
Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
-
D.
legalStatusAtApproval
Indicates the legal status or classification an entity held at the time it was formally approved.
-
E.
legalStatusAfterEvent
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6202b3881908b34ec4921fb90ca |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.