Triple
T4590905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viterbo |
E103483
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Viterbese |
E103483
|
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: Viterbese | Statement: [Viterbo, demonym, Viterbese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viterbese Context triple: [Viterbo, demonym, Viterbese]
-
A.
Frosinone
Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
-
B.
Viterbo
chosen
Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
-
C.
Viterbo
Viterbo is a municipality in the Caldas Department of Colombia, known for its coffee production and scenic Andean landscapes.
-
D.
Minturno
Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
-
E.
Pisae
Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0cdc7e8819088758c1d6d8e866d |
completed | March 21, 2026, 12:05 a.m. |
Created at: March 20, 2026, 1:11 p.m.