Triple
T8592949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauri Kristian Relander |
E203471
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lauri |
E203471
|
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: Lauri | Statement: [Lauri Kristian Relander, givenName, Lauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauri Context triple: [Lauri Kristian Relander, givenName, Lauri]
-
A.
Lauri
chosen
Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
-
B.
Laur
Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
-
C.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
D.
Laurits
Laurits is a given name, primarily used in Scandinavian countries, that is a variant of the name Lars.
-
E.
Luri
Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4668b49481908838579e9876c1ec |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8becbd88190837478e302d5e5b4 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.