Triple
T16601476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Madrid (1750) |
E403339
|
entity |
| Predicate | articleIncluded |
P2947
|
FINISHED |
| Object | provisions for boundary commissions |
—
|
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: provisions for boundary commissions | Statement: [Treaty of Madrid (1750), articleIncluded, provisions for boundary commissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleIncluded Context triple: [Treaty of Madrid (1750), articleIncluded, provisions for boundary commissions]
-
A.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
B.
containsArticle
chosen
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
C.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
D.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
E.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.