Triple
T6142108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arno River |
E136984
|
entity |
| Predicate | nameInItalian |
P17612
|
FINISHED |
| Object | Arno |
E233959
|
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: Arno | Statement: [Arno River, nameInItalian, Arno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arno Context triple: [Arno River, nameInItalian, Arno]
-
A.
Arno
chosen
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
-
B.
Arno
Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
-
C.
Tyrael
Tyrael is an archangel and central heroic figure in Blizzard's Diablo video game series, known for defying the High Heavens to aid humanity against the forces of Hell.
-
D.
Hawke
Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
-
E.
Armant
Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb387ac8190a60579b59a741425 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135f2defc8190a666f82e230a51c2 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.