Triple
T780613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace |
E16487
|
entity |
| Predicate | hasCitationFormExample |
P1259
|
FINISHED |
| Object | 68 U.S. (1 Wall.) |
—
|
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: 68 U.S. (1 Wall.) | Statement: [Wallace, hasCitationFormExample, 68 U.S. (1 Wall.)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCitationFormExample Context triple: [Wallace, hasCitationFormExample, 68 U.S. (1 Wall.)]
-
A.
hasFullCitation
Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
-
B.
hasExample
chosen
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
C.
originalCitationForm
Indicates the relationship where one form of a cited work is the initial or primary version from which other citation forms or variants are derived.
-
D.
hasNominativeCitation
Indicates that an entity is associated with its standard or canonical citation form used as the primary reference.
-
E.
citationBy
Indicates that one work is cited or referenced by another work.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.