Triple
T12585088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings of Parma |
E300434
|
entity |
| Predicate | ruledOver |
P1715
|
FINISHED |
| Object | Guastalla |
E99847
|
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: Guastalla | Statement: [Kings of Parma, ruledOver, Guastalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guastalla Context triple: [Kings of Parma, ruledOver, Guastalla]
-
A.
Guastalla
chosen
Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
-
B.
Roccastrada
Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
-
C.
Roccaraso
Roccaraso is a mountain town in Italy’s Abruzzo region, renowned as one of the country’s major ski and winter sports resorts.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bac9708190ad8f277e7751bf5c |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668656d5c819098f9824febf79712 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:04 p.m.