Triple
T281656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Law for the Federal Republic of Germany |
E5365
|
entity |
| Predicate | firstSectionTitle |
P3120
|
FINISHED |
| Object | Basic Rights |
—
|
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: Basic Rights | Statement: [Basic Law for the Federal Republic of Germany, firstSectionTitle, Basic Rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSectionTitle Context triple: [Basic Law for the Federal Republic of Germany, firstSectionTitle, Basic Rights]
-
A.
textOfSection1
Indicates that the referenced text is the content belonging specifically to section 1 of a larger document or structure.
-
B.
firstVideoTitle
Indicates the title of the first video associated with an entity in a sequence or collection.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
section
chosen
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
E.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.