Triple
T1572385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Federalist No. 34 |
E33568
|
entity |
| Predicate | seriesOrderWithinHamiltonEssays |
P23880
|
FINISHED |
| Object | one of Hamilton's essays in the series |
—
|
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: one of Hamilton's essays in the series | Statement: [The Federalist No. 34, seriesOrderWithinHamiltonEssays, one of Hamilton's essays in the series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOrderWithinHamiltonEssays Context triple: [The Federalist No. 34, seriesOrderWithinHamiltonEssays, one of Hamilton's essays in the series]
-
A.
foundingOrder
Indicates the chronological sequence in which entities were founded relative to one another.
-
B.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
C.
establishedInOrder
Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
-
D.
numberOfEssays
Indicates the quantity of essays associated with a given entity or context.
-
E.
containsEssay
Indicates that one entity includes or holds an essay as part of its contents.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.