Triple
T35922486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essen-Kettwig |
E1038922
|
entity |
| Predicate | inIncorporationYear |
P12896
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Essen-Kettwig, inIncorporationYear, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inIncorporationYear Context triple: [Essen-Kettwig, inIncorporationYear, 1975]
-
A.
incorporationYear
chosen
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
-
B.
hasYearOfEstablishment
Indicates the specific year in which an entity was founded, created, or formally established.
-
C.
inceptionOfOrganization
Indicates that an event, action, or point in time marks the founding or formal beginning of an organization.
-
D.
underlyingCompanyFormationYear
Indicates the calendar year in which the referenced underlying company was originally formed or established.
-
E.
IPOYear
Indicates the year in which an entity first became a publicly traded company through an initial public offering (IPO).
- F. None of above.
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.