Triple
T28949451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publius Cornelius Scipio (son of Scipio Africanus) |
E730966
|
entity |
| Predicate | hasRomanGens |
P87811
|
FINISHED |
| Object | Cornelia |
—
|
NE NERFINISHED |
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: Cornelia | Statement: [Publius Cornelius Scipio (son of Scipio Africanus), hasRomanGens, Cornelia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRomanGens Context triple: [Publius Cornelius Scipio (son of Scipio Africanus), hasRomanGens, Cornelia]
-
A.
hasRomanName
Indicates that an entity is associated with or known by a name derived from or used in ancient Rome.
-
B.
hasRomanRemains
Indicates that the subject contains or is the location of physical remains or archaeological evidence from the Roman period.
-
C.
eraOfRomanContact
Indicates the time period during which the entity was in contact or interaction with the Roman world.
-
D.
hasRomanNameStructure
chosen
Indicates that an entity’s name follows the conventional structural pattern of Roman naming (e.g., praenomen–nomen–cognomen or similar historically Roman forms).
-
E.
allyOfRome
Indicates a relationship where one entity is politically or militarily aligned with, and offers support or cooperation to, Rome.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 28, 2026, 8:42 a.m.