Triple
T16081843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurussia |
E390128
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Euramerica |
E415305
|
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: Euramerica | Statement: [Laurussia, alsoKnownAs, Euramerica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euramerica Context triple: [Laurussia, alsoKnownAs, Euramerica]
-
A.
Euramerica
chosen
Euramerica was an ancient Paleozoic-era supercontinent formed by the collision of Laurentia, Baltica, and Avalonia, which later contributed to the assembly of Pangaea.
-
B.
La América
La América was a periodical associated with José Martí that played a role in disseminating his early literary and political work, including the publication of "Ismaelillo."
-
C.
Ameria
Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
-
D.
Las Américas
Las Américas is a bus rapid transit station on Line 2 of Mexico City’s Metrobús system, serving passengers in the surrounding urban area.
-
E.
Eteläinen suurpiiri
Eteläinen suurpiiri is a major southern district of Helsinki, Finland, encompassing central coastal neighborhoods and popular urban areas.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844b86288190ad0452aad6bdd5fb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48cf76c8190bc96168fc2326ffb |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.