Triple
T11218956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orsini Fortress |
E265509
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Pitigliano |
E52356
|
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: Pitigliano | Statement: [Orsini Fortress, municipality, Pitigliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitigliano Context triple: [Orsini Fortress, municipality, Pitigliano]
-
A.
Pitigliano
chosen
Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
-
B.
Nocera Umbra
Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
-
C.
Acquaviva delle Fonti
Acquaviva delle Fonti is a town in the Apulia region of southern Italy, known for its historic center and rich underground water sources that give it its name.
-
D.
Vicopisano
Vicopisano is a historic Tuscan town in central Italy known for its medieval architecture and scenic setting near the Arno River.
-
E.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ea19e8819095d5d02c1f145534 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509ea915481909c41a4a89ae6ee80 |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:30 p.m.