Triple
T2621703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article I of the Texas Constitution |
E59021
|
entity |
| Predicate | hasArticleNumber |
P17113
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [Article I of the Texas Constitution, hasArticleNumber, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArticleNumber Context triple: [Article I of the Texas Constitution, hasArticleNumber, I]
-
A.
articleNumber
chosen
Indicates that one entity is identified or referenced by a specific article number assigned to it.
-
B.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
C.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
D.
articleNumberRange
Indicates that something is associated with or falls within a specified range of article numbers.
-
E.
hasArticleSystem
Indicates that a language or system employs a structured set of articles (such as definite or indefinite markers) as part of its grammar.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.