Triple
T30706974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federalist No. 59 |
E781778
|
entity |
| Predicate | seriesNumberInTheFederalistPapers |
P87010
|
FINISHED |
| Object | 59 |
—
|
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: 59 | Statement: [Federalist No. 59, seriesNumberInTheFederalistPapers, 59]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInTheFederalistPapers Context triple: [Federalist No. 59, seriesNumberInTheFederalistPapers, 59]
-
A.
federalistNumber
chosen
Indicates that an entity is associated with a specific numbered entry in the Federalist Papers (i.e., it has a particular Federalist paper number).
-
B.
opusNumber
Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
-
C.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
D.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
E.
publicationNumber
Indicates the unique identifying number assigned to a specific publication within a cataloging or publishing system.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 29, 2026, 8:35 p.m.