Triple
T22582426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Bassi |
E544599
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bassi |
—
|
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: Bassi | Statement: [Laura Bassi, familyName, Bassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassi Context triple: [Laura Bassi, familyName, Bassi]
-
A.
Bassi
chosen
Bassi is an Italian surname most notably associated with Laura Bassi, an 18th-century physicist and one of the first women to earn a university chair in Europe.
-
B.
Bassi
Bassi is a town in the Indian state of Rajasthan, known for its traditional Rajasthani culture and proximity to Jaipur.
-
C.
Bani
Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
-
D.
Bani
Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
-
E.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff26d6481908cc058f8c4b87e75 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.