Triple
T19346590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federalist No. 63 |
E483893
|
entity |
| Predicate | seriesSection |
P133934
|
FINISHED |
| Object | essays on the structure of Congress |
—
|
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: essays on the structure of Congress | Statement: [Federalist No. 63, seriesSection, essays on the structure of Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesSection Context triple: [Federalist No. 63, seriesSection, essays on the structure of Congress]
-
A.
seriesSubject
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
-
B.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
C.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
D.
documentsSeries
chosen
Indicates that one document belongs to, or is part of, a larger series of related documents.
-
E.
seriesEntryType
Indicates the specific role or category that an item has within a series (e.g., main entry, supplemental entry, or related entry).
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.