Triple
T5396541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discourses on Livy |
E120669
|
entity |
| Predicate | focusOfBook1 |
P31
|
FINISHED |
| Object | internal organization of republics |
—
|
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: internal organization of republics | Statement: [Discourses on Livy, focusOfBook1, internal organization of republics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusOfBook1 Context triple: [Discourses on Livy, focusOfBook1, internal organization of republics]
-
A.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
book4Focus
Indicates that something is the primary subject or focal point of a book or written work.
-
C.
firstEditionFocus
Indicates that the primary emphasis or subject of something is its first edition.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.