Triple
T13554555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Pontecorvo |
E323735
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Pontecorvo |
E339647
|
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: Pontecorvo | Statement: [Prince of Pontecorvo, governs, Pontecorvo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontecorvo Context triple: [Prince of Pontecorvo, governs, Pontecorvo]
-
A.
Pontecorvo
chosen
Pontecorvo is a historic town in central Italy’s Lazio region, known for its medieval architecture and strategic position along the Liri River.
-
B.
Bordigotti
Bordigotti are the inhabitants or natives of the Italian coastal town of Bordighera, typically referring to its local people and community.
-
C.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
-
D.
Buccheri
Buccheri is a small historic town in southeastern Sicily, Italy, known for its traditional architecture and scenic setting in the Hyblaean Mountains.
-
E.
Cossiga
Cossiga is an Italian surname most notably associated with Francesco Cossiga, a former President of 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f86f1248190922732247ff56f4d |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:46 p.m.