Triple
T20680642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giannutri |
E508281
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Poggio di Capel Rosso |
—
|
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: Poggio di Capel Rosso | Statement: [Giannutri, highestPoint, Poggio di Capel Rosso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poggio di Capel Rosso Context triple: [Giannutri, highestPoint, Poggio di Capel Rosso]
-
A.
Poggio di Capel Rosso
chosen
Poggio di Capel Rosso is the main hilltop on the Italian island of Giannutri, known for its panoramic coastal views and Mediterranean landscape.
-
B.
Poggio
Poggio is a small village on the Italian island of Elba, known for its scenic hillside setting near Monte Capanne.
-
C.
Poggio
Poggio is a small village in the municipality of Domagnano in San Marino.
-
D.
Poggio
Poggio is an Italian surname most notably borne by Tomaso Poggio, a prominent computational neuroscientist and artificial intelligence researcher.
-
E.
Poggio Renatico
Poggio Renatico is a town in northern Italy known for hosting key NATO air command and control facilities.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea655488190bab168d564d888af |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.