Triple
T10746631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Matta |
E253464
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Tarquinia, Italy |
E92615
|
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: Tarquinia, Italy | Statement: [Roberto Matta, burialPlace, Tarquinia, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarquinia, Italy Context triple: [Roberto Matta, burialPlace, Tarquinia, Italy]
-
A.
Tarquinia
chosen
Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
-
B.
Cento, Italy
Cento, Italy is a town in the Emilia-Romagna region known for its automotive heritage and as the longtime home of industrialist Ferruccio Lamborghini.
-
C.
Susa, Italy
Susa, Italy is a historic town in the Piedmont region near the French border, known for its Roman and medieval architectural remains and its strategic location in the Susa Valley.
-
D.
Cerveteri
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
-
E.
Pescia Romana
Pescia Romana is a coastal village in the Lazio region of central Italy, known for its agricultural production and beaches along the Tyrrhenian Sea.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b85d9c8190a66f536e2f22ed04 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de230b461c81909a98085079676b95 |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:15 p.m.