Triple
T20991239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noetianism |
E517027
|
entity |
| Predicate | historicalCentury |
P10303
|
FINISHED |
| Object | 3rd century |
—
|
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: 3rd century | Statement: [Noetianism, historicalCentury, 3rd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalCentury Context triple: [Noetianism, historicalCentury, 3rd century]
-
A.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
B.
century
chosen
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
emergedByCentury
Indicates that something came into existence, became prominent, or first appeared during a specified century.
-
E.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1ba3d0819080d9d03817a45026 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.