Triple
T2393454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarantee Clause |
E47594
|
entity |
| Predicate | hasTextFragment |
P7166
|
FINISHED |
| Object | The United States shall guarantee to every State in this Union a Republican Form of Government |
—
|
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: The United States shall guarantee to every State in this Union a Republican Form of Government | Statement: [Guarantee Clause, hasTextFragment, The United States shall guarantee to every State in this Union a Republican Form of Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextFragment Context triple: [Guarantee Clause, hasTextFragment, The United States shall guarantee to every State in this Union a Republican Form of Government]
-
A.
hasText
chosen
Indicates that an entity is associated with or contains a specific piece of textual content.
-
B.
hasFragments
Indicates that an entity is composed of, contains, or is associated with one or more smaller constituent parts or pieces.
-
C.
textFragment
Indicates that one piece of text is a constituent part or segment of a larger text.
-
D.
containsText
Indicates that one entity includes the specified text string within its content.
-
E.
hasTextOpening
Indicates that an entity begins with or contains a specified initial segment of text.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc876d48881909e4d6f5ebe430012 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.