Triple
T20041280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liria |
E497424
|
entity |
| Predicate | hasHeritage |
P1494
|
FINISHED |
| Object | Roman |
—
|
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: Roman | Statement: [Liria, hasHeritage, Roman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Context triple: [Liria, hasHeritage, Roman]
-
A.
Roman
Roman is a masculine given name of Latin origin that has been borne by numerous historical and contemporary figures across Europe and beyond.
-
B.
Roman
Roman is a surname most notably associated with Nancy Grace Roman, a pioneering American astronomer often called the "Mother of Hubble" for her role in developing the Hubble Space Telescope.
-
C.
Roman
Roman is a city in northeastern Romania known as an important regional industrial and transportation hub with historical roots dating back to the Middle Ages.
-
D.
Roman
Roman refers to the ancient civilization and culture of Rome, renowned for its vast empire, engineering, law, and lasting influence on Western history.
-
E.
Römer
The Römer is Frankfurt am Main’s historic city hall complex, renowned for its distinctive stepped gabled façade and long-standing role as a center of municipal government.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eb9a6081909d06dc1d457b4d5a |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.