Triple
T9107730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etona |
E218517
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Floreat Etona |
E42291
|
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: Floreat Etona | Statement: [Etona, partOf, Floreat Etona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floreat Etona Context triple: [Etona, partOf, Floreat Etona]
-
A.
Floreat Etona
chosen
Floreat Etona is the traditional Latin motto associated with Eton College, expressing the wish that the school may flourish.
-
B.
Allerona
Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
-
C.
Floreat
Floreat is the Latin motto of the University of Manitoba, expressing a wish for the institution to flourish and prosper.
-
D.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
E.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0302bfa00819097e752f1d0581d2d |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.