Triple
T853885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article IV, Section 1 of the United States Constitution |
E18446
|
entity |
| Predicate | sectionNumber |
P8879
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Article IV, Section 1 of the United States Constitution, sectionNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionNumber Context triple: [Article IV, Section 1 of the United States Constitution, sectionNumber, 1]
-
A.
isSectionNumber
chosen
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
-
B.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
C.
verseNumber
Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
-
D.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
E.
sectionAddressed
Indicates that a specific section or part of a document, text, or resource is being referred to, targeted, or dealt with by an action or statement.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac389a44819093396a58d2afa700 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa81ef348190b067f817574e9efe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.