Triple
T19728096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What You Will |
E473778
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Urbino |
—
|
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: Urbino | Statement: [What You Will, setting, Urbino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbino Context triple: [What You Will, setting, Urbino]
-
A.
Urbino
chosen
Urbino is a historic hill town in Italy’s Marche region, renowned as a Renaissance cultural center and the birthplace of Raphael.
-
B.
Perugia
Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
-
C.
Pesaro e Urbino
Pesaro e Urbino is a province in Italy’s Marche region, known for its Renaissance heritage, Adriatic coastline, and historic cities such as Pesaro and Urbino.
-
D.
Città di Castello
Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
-
E.
Umbertide
Umbertide is a historic town in central Italy’s Umbria region, known for its medieval architecture and scenic position along the Tiber River.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fa1bc481908a9e7cf4fc52f75c |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:47 p.m.