Triple
T16049656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sommi |
E389319
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Sommi |
E389319
|
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: Sommi | Statement: [Sommi, hasName, Sommi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sommi Context triple: [Sommi, hasName, Sommi]
-
A.
Sommi
chosen
Sommi is a character from the "Pengi and Sommi" series, typically portrayed as one of the central figures alongside Pengi in this fictional universe.
-
B.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
-
C.
Mottarone
Mottarone is a mountain in northern Italy known for its panoramic views over Lake Maggiore and the surrounding Alpine and lake district scenery.
-
D.
Seravezza
Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
-
E.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361083c8190abc84534265dc992 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe478bcc48190bdd4fcb7ec51caad |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.