Triple
T2014825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law to Remedy the Distress of People and Reich |
E43769
|
entity |
| Predicate | extendedOn |
P34500
|
FINISHED |
| Object | 1937-01-30 |
—
|
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: 1937-01-30 | Statement: [Law to Remedy the Distress of People and Reich, extendedOn, 1937-01-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedOn Context triple: [Law to Remedy the Distress of People and Reich, extendedOn, 1937-01-30]
-
A.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
-
B.
extendedPassagesFrom
Indicates that one text or document contains longer or more detailed passages derived from, elaborating on, or continuing the content of another source.
-
C.
extension
Indicates that one entity is a lengthening, continuation, or added part of another entity beyond its original limits.
-
D.
extendsUnder
Indicates that one entity physically stretches or reaches out beneath another entity, occupying a lower position while continuing under its span or area.
-
E.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:37 p.m.