Triple
T15570178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua da Sofia (Coimbra) |
E374218
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sophia (Wisdom) |
E553183
|
NE 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: Sophia (Wisdom) | Statement: [Rua da Sofia (Coimbra), namedAfter, Sophia (Wisdom)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia (Wisdom) Context triple: [Rua da Sofia (Coimbra), namedAfter, Sophia (Wisdom)]
-
A.
Minerva
Minerva is a supporting character in the 1997 Rodgers & Hammerstein television adaptation of Cinderella, appearing as one of the comedic stepsisters.
-
B.
Minerva
chosen
Minerva is the Roman goddess of wisdom, strategic warfare, and the arts, often identified with the Greek goddess Athena.
-
C.
Sophia
"Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
-
D.
Sophia
Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
E.
Sophia
Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.