Triple
T25675377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauri Törni |
E643789
|
entity |
| Predicate | yearOfIdentification |
P169218
|
FINISHED |
| Object | 2003 |
—
|
LITERAL 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: 2003 | Statement: [Lauri Törni, yearOfIdentification, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfIdentification Context triple: [Lauri Törni, yearOfIdentification, 2003]
-
A.
accessionYear
Indicates the calendar year in which an item, record, or entity was formally added to or registered within a collection, system, or institution.
-
B.
yearOfIssue
Indicates the specific calendar year in which something (such as a document, publication, or item) was formally issued or released.
-
C.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
D.
yearOfProduction
Indicates the specific year in which an item, work, or product was created or manufactured.
-
E.
yearOfInsertion
Indicates the calendar year in which an entity was added, introduced, or inserted into a particular system, collection, or context.
- F. None of above. chosen
Provenance (4 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 21, 2026, 7:37 p.m.