Triple
T1114482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Pacific Railway Act of 1862 |
E11064
|
entity |
| Predicate | citationStyleName |
P24516
|
FINISHED |
| Object | 12 Stat. 489 |
—
|
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: 12 Stat. 489 | Statement: [Union Pacific Railway Act of 1862, citationStyleName, 12 Stat. 489]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationStyleName Context triple: [Union Pacific Railway Act of 1862, citationStyleName, 12 Stat. 489]
-
A.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
B.
citationFormatIncludes
Indicates that a particular citation format specification contains or incorporates a given element, rule, or component as part of its structure.
-
C.
citationLanguage
Indicates the language in which a cited work or reference is written or presented.
-
D.
citationFormExample
Indicates that an example is provided illustrating the standard or canonical citation form of an expression or lexical item.
-
E.
citationBy
Indicates that one work is cited or referenced by another work.
- F. None of above. chosen
Provenance (4 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.