Triple
T14757403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armn |
E346764
|
entity |
| Predicate | scriptCreationCentury |
P15335
|
FINISHED |
| Object | 5th 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: 5th century | Statement: [Armn, scriptCreationCentury, 5th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptCreationCentury Context triple: [Armn, scriptCreationCentury, 5th century]
-
A.
fictionalCenturyOfOrigin
Indicates the fictional century in which an entity is depicted as having originated or first appeared within its narrative world.
-
B.
originalCentury
chosen
Indicates the century in which something was originally created, produced, or came into existence.
-
C.
titleCreatedInCentury
Indicates that a title (such as a work or designation) was created during a specific century.
-
D.
documentationCentury
Indicates the century during which the documentation or recorded evidence of an entity or event originates.
-
E.
characterCreatedInCentury
Indicates that a fictional character was first created or introduced during a specified century.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.