Triple
T14159848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epistulae |
E350906
|
entity |
| Predicate | settingOfManyLetters |
P113047
|
FINISHED |
| Object | Rome |
E3694
|
NE FINISHED |
How this triple was built (3 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: Rome | Statement: [Epistulae, settingOfManyLetters, Rome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rome Context triple: [Epistulae, settingOfManyLetters, Rome]
-
A.
Rome
chosen
Rome is the historic capital of Italy and a major cultural and religious center of the world, renowned for its ancient Roman heritage, art, and architecture.
-
B.
Rome
Rome is a British-American animated television series created by Danger Mouse that blends surreal humor, espionage themes, and distinctive visual style.
-
C.
Rome
Rome is a city in northwestern Georgia, United States, known as a regional center for education, healthcare, and manufacturing in the Appalachian foothills.
-
D.
Rome
Rome is the codename for a generation of AMD EPYC server processors based on the Zen 2 microarchitecture, known for significant improvements in performance and efficiency over its predecessors.
-
E.
Roma
Roma is a historic, centrally located neighborhood in Mexico City known for its tree-lined streets, early 20th-century architecture, and vibrant cultural and culinary scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfManyLetters Context triple: [Epistulae, settingOfManyLetters, Rome]
-
A.
letters
Indicates that one entity is composed of, represented by, or associated with specific alphabetic characters or written symbols.
-
B.
writesLettersTo
Indicates that one entity composes and sends letters directed to another entity.
-
C.
letter3
Indicates that one entity is the third letter (or character) of another entity, typically a string or word.
-
D.
lettersWrittenBetween
Indicates that letters have been written and exchanged between the two entities, reflecting a mutual correspondence.
-
E.
letterer
Indicates that one entity serves as the letterer of another, typically responsible for drawing or designing the lettering (such as text or captions) in that work.
- F. None of above. chosen
Provenance (5 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:58 a.m.