Triple
T27983145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Claudia Ara Agrippinensium |
E706675
|
entity |
| Predicate | hasLatinWord |
P60629
|
FINISHED |
| Object | Colonia |
—
|
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: Colonia | Statement: [Colonia Claudia Ara Agrippinensium, hasLatinWord, Colonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatinWord Context triple: [Colonia Claudia Ara Agrippinensium, hasLatinWord, Colonia]
-
A.
hasLatinText
Indicates that an entity possesses or is associated with text written in Latin.
-
B.
hasLatinInfluence
Indicates that one entity exerts or reflects cultural, linguistic, or stylistic influence derived from Latin on another entity.
-
C.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
-
D.
hasLatinEtymology
Indicates that something originates from or is derived from a Latin word or linguistic root.
-
E.
correspondsToLatinWord
chosen
Indicates that one element is the equivalent or matching term of another element in Latin.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 27, 2026, 7:45 p.m.