Triple
T10042439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvo Ylppö |
E205327
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arvo |
E205327
|
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: Arvo | Statement: [Arvo Ylppö, givenName, Arvo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvo Context triple: [Arvo Ylppö, givenName, Arvo]
-
A.
Arvo
chosen
Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
-
B.
Arvi
Arvi is a town in Maharashtra, India, known for its agricultural markets and role as a local commercial center within Wardha district.
-
C.
Arvit
Arvit is the Jewish evening prayer service recited daily after nightfall.
-
D.
Arve
The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
-
E.
Vale
Vale is a major global mining company known for producing iron ore, nickel, and other minerals, with significant operations in the Sudbury Basin in Canada.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf60a2208190846e57b5f5649307 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28278235c8190a5e833a9586bd3f5 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.