Triple
T14718572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trigno |
E345747
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | it:Trigno |
E345747
|
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: it:Trigno | Statement: [Trigno, hasNameInLanguage, it:Trigno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: it:Trigno Context triple: [Trigno, hasNameInLanguage, it:Trigno]
-
A.
Trigno
chosen
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
-
B.
Tronic
Tronic is a critically acclaimed studio album by Detroit rapper and producer Black Milk, known for its futuristic production and intricate lyricism.
-
C.
Telegin
Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
-
D.
Trigance
Trigance is a small medieval village in southeastern France known for its hilltop castle and scenic location near the Gorges du Verdon.
-
E.
TriG
TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98823408190b4b58a4c4a3fa3a3 |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0935f088190b54f2e106532972a |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.