Triple
T30433928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ager Praenestinus |
E774248
|
entity |
| Predicate | hasModernCorrespondent |
P160839
|
FINISHED |
| Object | territory around Palestrina |
—
|
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: territory around Palestrina | Statement: [Ager Praenestinus, hasModernCorrespondent, territory around Palestrina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernCorrespondent Context triple: [Ager Praenestinus, hasModernCorrespondent, territory around Palestrina]
-
A.
hasModernRepresentatives
Indicates that an entity has current or contemporary examples, members, or instances that represent it in the modern era.
-
B.
hasModernInstitution
Indicates that an entity possesses, hosts, or is associated with a contemporary institution or organization.
-
C.
hasModernPeriod
Indicates that an entity possesses, is associated with, or falls within a defined modern historical or stylistic period.
-
D.
hasModernReflex
chosen
Indicates that an older or historical form has a corresponding modern descendant or outcome in a contemporary language stage.
-
E.
hasModernExpression
Indicates that something possesses a contemporary or up-to-date form, style, or representation.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 29, 2026, 8:07 p.m.