Triple
T10143445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volturno River |
E231641
|
entity |
| Predicate | nameInItalian |
P17612
|
FINISHED |
| Object | Volturno |
E793789
|
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: Volturno | Statement: [Volturno River, nameInItalian, Volturno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volturno Context triple: [Volturno River, nameInItalian, Volturno]
-
A.
Volturno
chosen
Volturno is a major river in southern Italy that flows through the Campania region before emptying into the Tyrrhenian Sea.
-
B.
Vizzavona
Vizzavona is a small mountain village and forested pass area in central Corsica, known as a key stop for hikers on the island’s famous GR20 trail.
-
C.
Verucchio
Verucchio is a historic hilltop town in Italy’s Emilia-Romagna region, known for its well-preserved medieval architecture and important Villanovan archaeological sites.
-
D.
Biferno
Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
-
E.
Vulko
Vulko is a fictional Atlantean statesman and advisor, often depicted as a close ally and counselor to Aquaman in DC Comics.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb273fec8190818707167e031d58 |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e618b0bc8190bc1d6f15dac2708e |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.