Triple
T2867747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federalist No. 40 |
E63479
|
entity |
| Predicate | hasNumberWithinWork |
P42829
|
FINISHED |
| Object | XL |
—
|
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: XL | Statement: [Federalist No. 40, hasNumberWithinWork, XL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberWithinWork Context triple: [Federalist No. 40, hasNumberWithinWork, XL]
-
A.
hasWorkCount
Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
-
B.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
-
C.
hasWorkInCollection
Indicates that a work or item is included as part of a particular collection.
-
D.
hasWorkUsedBy
Indicates that a work (such as a resource, document, or artifact) is utilized or referenced by another entity in performing its activities or functions.
-
E.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbcebcc81909a78a1787d823e3e |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:02 p.m.