Triple
T15041944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metaurus River |
E378619
|
entity |
| Predicate | hasItalianName |
P17612
|
FINISHED |
| Object | Metauro |
E890999
|
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: Metauro | Statement: [Metaurus River, hasItalianName, Metauro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metauro Context triple: [Metaurus River, hasItalianName, Metauro]
-
A.
Metauro
chosen
Metauro is a river in the Marche region of eastern Italy, historically known as the site of the Battle of the Metaurus during the Second Punic War.
-
B.
Meano
Meano is an Italian surname most notably associated with Vittorio Meano, an architect known for designing prominent public buildings in South America.
-
C.
Senica
Senica is a town in western Slovakia known as an industrial and administrative center within the Trnava Region.
-
D.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
E.
Cassadaga
Cassadaga is a small unincorporated community in Florida widely known as a center for Spiritualism and psychic mediums.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de388508190bb0ecc04740cbe15 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.