Triple
T33953395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zürich |
E870500
|
entity |
| Predicate | adoptedOfficialReformation |
P41349
|
FINISHED |
| Object | 1520s |
—
|
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: 1520s | Statement: [Zürich, adoptedOfficialReformation, 1520s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedOfficialReformation Context triple: [Zürich, adoptedOfficialReformation, 1520s]
-
A.
reformedOn
Indicates that an entity underwent a reform, change, or restructuring at a specific point in time or on a particular date.
-
B.
reformedOffice
Indicates that an office or official position has been reorganized, restructured, or fundamentally changed from its previous form.
-
C.
laterReformedAs
Indicates that an entity was subsequently reorganized, renamed, or transformed into another entity at a later time.
-
D.
underwentReformation
chosen
Indicates that an entity experienced a significant process of change, restructuring, or reform that altered its previous state or practices.
-
E.
reformationMethod
Indicates the method or process by which something is reformed, corrected, or transformed from a prior state.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:49 a.m.