Triple
T21709431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maius |
E535860
|
entity |
| Predicate | hasNameInLatin |
P9999
|
FINISHED |
| Object | Maius |
—
|
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: Maius | Statement: [Maius, hasNameInLatin, Maius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maius Context triple: [Maius, hasNameInLatin, Maius]
-
A.
Maius
chosen
Maius is the Latin name for the month of May in the ancient Roman calendar, traditionally associated with growth and the goddess Maia.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Maraone
Maraone is a small, lesser-known island in Italy’s Aegadian archipelago off the western coast of Sicily.
-
D.
La Senoge
La Senoge is a small river in the canton of Vaud, Switzerland, that flows through the Jura region before joining the larger La Venoge.
-
E.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5321d34819091f3cd03f7b407c0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.