Triple
T12792104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasse Virén |
E305792
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Virén |
E305792
|
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: Virén | Statement: [Lasse Virén, familyName, Virén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virén Context triple: [Lasse Virén, familyName, Virén]
-
A.
Virén
chosen
Virén is a Finnish surname most famously associated with Olympic long-distance runner Lasse Virén.
-
B.
Velino
The Velino is a river in central Italy that flows through the province of Rieti before joining the Nera River near Terni.
-
C.
Sitalá
Sitalá is a rural municipality in the Mexican state of Chiapas known for its predominantly Tzeltal Maya population and traditional indigenous culture.
-
D.
Aigaleo
Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
-
E.
Taunus
Taunus is a low mountain range in central Germany known for its forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ebeab2081908a6e38351613e3ed |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:30 p.m.