Triple
T13629833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Circle |
E325683
|
entity |
| Predicate | modernisationPeriod |
P17897
|
FINISHED |
| Object | 1977–1980 |
—
|
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: 1977–1980 | Statement: [Outer Circle, modernisationPeriod, 1977–1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernisationPeriod Context triple: [Outer Circle, modernisationPeriod, 1977–1980]
-
A.
modernizationPeriod
chosen
Indicates the time span during which an entity undergoes or is subject to modernization efforts or processes.
-
B.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
C.
modernEraStart
Indicates the point in time when the modern era begins for a given subject or context.
-
D.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
E.
isModernizationOf
Indicates that one entity is an updated, improved, or contemporary version of another earlier entity.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.